In the symphony of data analysis, Pandas orchestrates the melody, but the echo of memory constraints prompts us to dance with resourceful tricks for orchestrating grand epicycles of analysis

This writing is meant for tabular datasets, there are different tips and tricks for working with massive data when it comes to pre-processing for further epicycles of analysis. The most well-known and friendly tool for data analysis and manipulation is Pandas, I use it in my daily tasks as well, which offers a lot when it comes to analysis the only caveat with Pandas is that it loads all the data into memory before performing pre-processing on the dataframe. It is capable of handling 2 to 3 Gigabytes of data amount otherwise you have to employ several tricks to use memory efficiently.

Do you use Pandas for data analysis, and have you encountered any issues with its memory consumption when handling large datasets?

In order to avoid errors due to the size of the dataset exceeding the memory(RAM) there are techniques for efficient usage of memory with pandas such as scaling(creating random samples from the extensive data), chunking(Splitting the extensive data into chunks), and data type optimization(setting appropriate data types on columns).

Data Types Optimization with Pandas

Choosing the most appropriate data types for your columns to balance memory efficiency and computational speed is what we call a data type optimization approach.
Data types specify how data is processed and stored in memory. In Pandas, each column of a DataFrame is linked to a particular data type, such as integers, floating-point numbers, texts, and categorical data. Memory use and processing speed can be considerably impacted by the data type that is selected.

Positive effects of data type optimization:

Memory Efficiency: Making the correct data type selections can help your Dataframe use less memory. The ability to deal with larger datasets without taxing the system is made possible by the smaller data types’ reduced memory requirements.

Mathematical operations and computations can be performed more quickly on some data types. Calculations can be sped up, for instance, by substituting integer data types for floating-point data types.

Categorical Data: Categorical data types are especially useful for columns that have a small number of unique values. They boost grouping and aggregation processes’ performance while simultaneously saving memory.

Today will look at the data type optimization technique, using memory_usage() function to compute the memory amount used by data objects.

Optimization section

Comparison of the storage piece

Considerations and Trade-offs in Data Type Optimizations

Range Limitations: Smaller data types have limited ranges. Using them for very large or small numbers might result in overflow or underflow errors. In this dataset, the `price(TZs)` column doesn’t involve very large or small numbers that would cause range limitations. However, if you were to work with extremely large or small values, using a smaller data type like `float16` could potentially lead to overflow or underflow issues, affecting the accuracy of your calculations.

Loss of Precision: Converting to smaller data types, like reducing from `float64` to `float32`, may lead to loss of precision. This can impact accuracy, particularly in scientific or financial applications. We converted the `price(TZs)` column from `float64` to `float32`. As you can see, the converted prices in `float32` exhibit a slight loss of precision compared to the original `float64` values. While the loss of precision might not be significant in this example, it could be more pronounced when dealing with highly precise financial or scientific calculations.

Comparisons and Operations: Data type differences can affect comparisons and operations. In optimized data types, rounding mistakes and truncation may happen. Take into account a situation in which you are examining currency conversion rates with many decimal places. The associated rounding mistakes could result in inaccurate calculations if you express these rates using a less exact data type like `float32` Financial analysis could be inaccurate as a result of a tiny difference in one exchange rate that spreads across your computations. The `price(TZs)` column’s conversion to `float32` introduces rounding mistakes, which provide somewhat different results. Although these variations might appear insignificant, they could add up over time and influence calculations and comparisons that require precise values, which could affect decision-making processes.

Do you think Pandas’ limitation of loading all data into memory for pre-processing is a significant drawback, and if so, how do you address it in your data analysis tasks?

Final Thoughts

When it comes to data type optimizations for massive datasets, various best practices can assist in avoiding the potential adverse effects. Thorough testing and validation of optimized data are essential to ensuring that results stay correct after conversions. Cross-referencing with original high-precision data and trusted standards can help discover any inconsistencies.

Recognizing how data type optimizations affect the accuracy and integrity of outcomes is crucial since data-driven decisions continue to influence companies and research. Data professionals can make use of the benefits of data type optimizations while avoiding hazards by being aware of the potential drawbacks and using conservative practices.

Alternative tools to use as mitigation of pandas trade-offs are Vaex, Modin, Dask, etc Feel free to drop your thoughts via the comment section 😎

Do you want to learn more about scaling massive data with pandas? here you go

How about handling massive datasets in pandas? here you go

What does supervised & unsupervised machine learning mean?

Supervised & Unsupervised Machine Learning:

These are the types of machine learning 😎

In supervised machine learning, the algorithm needs supervision while it is learning, by feeding it with the information to help it learn. They are trained on a labeled dataset, where the desired output is known. The algorithm then makes predictions based on this labeled data.

Consider the scenario, you might provide the machine with 500 examples of clients who defaulted on their loans and another 500 examples of clients who didn’t if you were seeking to learn about the connections between loan defaults and borrower information. The machine can determine the information you’re looking for thanks to the labeled data, which “supervises” it.

Typical cases: Loan Default Prediction, Medical Image Classification, etc

In Unsupervised machine learning, algorithm learning without supervision. Trained on an unlabeled dataset, where the desired output is not known. The algorithm then tries to identify patterns and relationships within the data without any pre-defined objective.

Consider the scenario where you were unaware of which clients had defaulted on their debts. Instead, after receiving borrower data, the machine would analyze the data to identify patterns among the borrowers before clustering them into different groups.

Typical cases: Market Basket Analysis, Customer Segmentation

If these are types of machine learning, where does the subjectivity and objectivity of this topic originate?

Subjectivity And Objectivity:

All thoughtful consideration, subjectivity & objectivity between the two types of machine learning originate from the decision point, why you choose x models instead of a,b,c models.

To say something is a subjective meaning that is based on or influenced by personal feelings, or opinions. While Objective is not influenced by personal feelings, based on factual information.

In supervised machine learning we choose the best model based on performance metrics and considering the risk and business cases. All of this is factual information that’s a point where supervised machine learning is Objective. Keep in mind that choosing the best model is not always a straightforward process, and may require several iterations of training and evaluating different models to find the optimal solution.

In unsupervised machine learning the dance is different, consider a case of customer segmentation choosing the number of optimal clusters is very trick, considering evaluation metrics like inertia, Silhouette score, and the common technique Elbow method, As we increase the value of K(clusters) inertia get smaller which is better, but in a real sense, we can’t afford to have 60 or even more clusters in production.

Considering the visual of Inertia value versus K values. The trick is to look for a point in a line where Inertia starts level-off after bending the elbow and the determination of the sweet spot is always a challenge that can range from two numbers of clusters.

There is no direct answer to how many clusters can be created, which means the debate begins here. We choose the best model or number of clusters based on different factors rather than evaluation metrics alone. Some of those factors have nothing to do with performance metrics; that’s a point where unsupervised machine learning is Subjective.

Here is an example: Let’s say that you are working for a Bank and the Bank wants to create targeted email campaigns for different groups of customers on how they interact with their products. During the discussion with the marketing team, somebody might say “Hey we only have enough budget for three campaigns”. Well, guess what regardless of the performance metrics K is now going to be 3.

Note: In Unsupervised machine learning things are subjective rather than objective as in supervised machine learning.

Final Thoughts:

As a data professional, it is crucial to effectively communicate with relevant stakeholders, including teams that will be impacted by your solution. This collaboration allows you to leverage domain knowledge and ensures that your solution is optimized for the specific needs and requirements of the production environment. By considering these factors, you can effectively deliver impactful results that meet the needs of your organization.

I hope you found our discourse stimulating. Please do not hesitate to share your reflections in the comments section. Your contributions would be highly valued, especially as a fellow Machine Learning enthusiast.

Hello and thank you for visiting today. I will describe the most epic machine learning hackathon for both undergraduate and postgraduate students across the continent. I will give advice on how to get ready for the hackathon, how to tackle the challenges, how to stand out from the competitors, what it takes to win the hackathon, and finally, I will offer examples of past UmojaHack Africa winners.

About UmojaHack Africa:

UmojaHack Africa is Africa’s largest inter-university machine learning hackathon, taking place this year on 18–19 March 2023 at universities all over the continent. Students of all levels are encouraged to participate in a weekend of learning and fun, interact with other students and learn about career options in data science, and stand a chance to win $10 000 USD in prizes.

This event is special for all data enthusiast students across the continent, With an interest in taking their Data Science and Machine Learning experiences to the extra mile.

Kudos to Zindi Africa and the sponsors of this event from 2020, which took place for the first time, as it will commemorate the fourth occurrence in 2023. The event always has three kinds of competitions, for three levels of understanding in the data science field:

1. Beginner challenge: this challenge is especially for data enthusiast students with less than 1 year of experience in data science. You can even join with no experience at all!
2. Intermediate challenge: This challenge is especially for data enthusiast students with 1–2 years of experience in data science and machine learning.
3. Advanced challenge: This challenge is especially for data enthusiast students with 2+ years of experience in data science and machine learning.

Nice! now you are aware of the most epic event, Let’s jump right in to explore more about tips for success.

UmojaHack Africa 2023

Tips for Success: How to Ace the Biggest Machine Learning Hackathon for Students

Participating in a data science and machine learning hackathon can be a great opportunity to showcase your skills, learn from others, and potentially win a prize. Here are the tips for success in UmojaHack

• Get yourself familiar with data science and machine learning: You should understand that data science is not about tools. Instead is all about solving problems by improving performance, reducing risks, etc by the means of data. Understand the steps for solving challenges with data science and machine learning then master the process by doing practice and learning from existing solutions.
• Get a fully registered Zindi Account: fill out your details-Including University-Get familiar with the platform it is really important.
• Set a goal: what do you want to achieve from Umojahack like winning prizes, connecting with brilliant minds from other countries, Exploring New techniques in data cleaning and analysis, Validate your problem-solving skills may be in supervised machine learning challenges or Unsupervised ones? This is really important because you will be running at your own pace rather than feeling frustrated with others during the challenge
• Try to solve the existing challenges on the zindi platform which are related to or similar to your goals if you aiming to win experience matters nothing comes without a hustle so I beg you to try really harder. Enroll challenge, build a solution, and submit your solution for evaluation, by doing so you will have confidence and no more surprises or stack during the hackathons.
• Prepare yourself in terms of the conducive environment during the hackathon day, data bundle for downloading data, submissions, searching for resources, and getting updates about the hackathon. All is to ensure your mind will be settled during the hackathon and you will focus on building the solution nothing more.
• Get better at problem understanding, data cleaning, analysis, and feature engineering, this will help you to figure out what are the key patterns of coming up with the right model for the challenge at hand. Not get surprised at the end of the hackathon the algorithms of the winners and yours are the same only the difference starts with problem understanding, data preparation, and selecting the best features.
• Plan your approach: Develop a plan for tackling the problem. Break the problem into smaller, more manageable parts and identify which techniques you will be using at each part. Explore best Machine Learning techniques for analysis, preprocessing, Model selection, and boosting model performances such as feature engineering, Hyperparameter tuning, data augmentations, cross-validation, and Ensemble methods techniques such as bagging, boosting, and stacking can be used to improve the accuracy and robustness of the model depending on the nature of the task at hand.
• Get familiar with cloud environments like Google collab, and Kaggle Kernel this will help in making the smooth journey of building amazing solutions. Be accountable for the limitations of those cloud platforms in case you run out of usage you can consider paying or using a different account to backup or consider having a team so that within a team alternatives will be available.
• Instead of doing a challenge solely consider having a team: Not a must but if you think is the best option for you why not use it? Solving a challenge in a team of up to 4 students will help to combine you are ideas, connect with people, and make awesome progress in your data science journey.
• Remember to keep track of your submissions by naming them well with words that can help you to remember what techniques you applied to come out with that submission this is important for winners when it comes to submitting your source codes.
• Consider documenting your solution right after the hackathon this will be the best way to reflect on what you have achieved in terms of experience, and impact your writing and reporting skills as well. You can write an article to share about the challenge approach, update your resume, create well documented GitHub repository, and post your solution. Small things really matter in your career journey so don’t wait for huge opportunities only.

How to enter your first Zindi competition

Untold Secrets about UmojaHack Africa:

• About Winning prizes: Winners announcement is done on the second day just 30 min after the hackathon. Winning prizes-top winners per challenge up to three, Chances of Winning from the Country level this is different from the challenge level, Teams are allowed within the University level you can’t combine with students from different universities or countries.
• About Submissions and Leaderboard: You will be having 50 limited submissions per day(may change depending on the challenge guidelines). The final leaderboard will reveal the winners, and understand the difference between public and private leaderboards here. Zindi will select the best-performing submission from the public leaderboard for evaluation on the private leaderboard but you can select up to 4 submissions to be considered as your final solutions before the end of the hackathon and zindi will use those to evaluate in the private leaderboard.
• Solutions Validation: Zindi Will Send an email just after the announcement to submit your solution for evaluation the email will have all guidelines including the specific time failure to do so will be disqualified, If your submitted codes didn’t produce the results on the leaderboard also you will be disqualified.
• Having Multiple Accounts: It is not allowed to have multiple accounts any suspicion of doing this will be burned out from using the zindi platform for the specified time.
• About Participation Certificate: Every participant receives a participation certificate from Zindi, which details their standing on the hackathon scoreboard and the challenge’s objectives.
• Opportunities after UmojaHack: UmojaHack winner has higher chances to connect with Sponsors which is really amazing.

2021 winner Tony Mipawa shares why you should join Zindi for UmojaHack Africa 2022, Africa’s…

Previous UmojaHack Events as Case Studies:

1. UmojaHack Africa 2020: attracted students from 56 universities in 15 African countries competed for cash prizes, and seized the opportunity to collaborate and hone their machine learning skills. Almost $10,000 in prizes to winners and their universities were distributed by Zindi Africa. Explore more about challenges and solutions from winning teams from this link.
2. UmojaHackAfrica 2021: attracted students from 126 universities in 21 African countries competed for cash prizes, and seized the opportunity to collaborate and hone their machine learning skills. Almost $20,000 in prizes to winners and their universities were distributed by Zindi Africa. Explore more about challenges and solutions from winning teams from this link.
3. UmojaHack Africa 2022: attracted students from 300 universities in 30 African countries competed for cash prizes, and seized the opportunity to collaborate and hone their machine learning skills. Explore more about challenges and solutions from winning teams from this link. Source codes from winners are posted here.

UmojaHack Africa: Reflections from AI Tanzania Community

Final Thoughts:

No one cares about the tools you have used to succeed in the hackathon, people care about the problem you have solved how innovative and creative are you? Can you explore what is the potential of your solution? To what extent you have solved the challenge? etc

Data is the foundation of any machine learning project. Spend time understanding the data and ensuring that it is clean and well-structured. Identify the features that are most relevant to the problem you are trying to solve.

Remember to have fun! Hackathons are a great way to meet new people, learn new skills, and work on interesting problems. Enjoy the experience and try to learn as much as possible.

All the best in the coming umojaHack, get ready to bring solutions to African challenges. Ciao.

Target audience: people who have experience with the UmojaHack Africa hackathon and are eager to organize or help with the planning of the most epic machine learning event for African students at the university level.

Don’t worry if this is your first time hearing about UmojaHack Africa follow the link below 😊.

UmojaHack Africa 2022 brought together Africa’s best young talent in data science to learn, build…

Organizing a UmojaHack hackathon at the university level can be an exciting and rewarding experience, but it also requires careful planning and preparation. As I have experience in this, I would love to share my experience with others to help them have a better time and make the most of the UmojaHack event.

Consider these ideas for planning an UmojaHack hackathon at the university level:

Here are some suggestions I have for you to consider to make the event successful:

Assemble a planning team: As a leader, community manager, or member of a certain group consider arranging a team to assist in planning and sorting out requirements it can be up to three people or just two. Find a way to let the data science community members or students know about umojaHack one to two months before, and plan for weekly meetups to that you can help out with skills validation among students. In case there is no community or leaders consider communicating with like-minded colleagues to prepare for the event and not be afraid of taking responsibility.

Consider registering your university for the UmojaHack event: this will help to get support from the Zindi team and ambassadors, and get updates in time about the most epic event. Remind every student to register for the event at the university level so that you can keep track of the number of interested folks.

UmojaHack Africa 2023

Create a channel of communication for leaders and participants so that to get inquiries solved in time and fast the process: Once you have collected the details of interested students it is time to create a channel for communication such as WhatsApp, Discord, Telegram, or slack depending on what channel the majority of your university is comfortable with.

Provide updates about the hackathon on that channel it will help to bring awareness and accountability. Use the channel to share resources about previous umojaHack hackathons, resources to learn data science, or tips to solve challenges using data science. I am sure this will help students to learn from each other at a fast pace.

Request for a conducive venue from University Administration to use during the Hackathon: managing to book a venue as soon as possible is a big win consider having internet, projector, electricity, and an emergency generator in case electricity will go off.

Request for other support from University Administration, Department Leaders, or Other Staff such as meal support, and technical support to make sure the event will be amazing and exceptional. Do this as soon as possible even 3 to 2 months before the UmojaHack date.

Consider looking for sponsors like tech companies, NGOs, media groups, and others that can add support to the event at your university. Do this as soon as possible even 3 to 2 months before the UmojaHack date.

Data sharing devices during the event: Consider having a hard drive for data sharing in case the Internet is not good It will be simple for folks to share data and continue with the challenge.

Having the event Swags early: Zindi usually distributes swags for students special for the UmojaHack event remember to ask for the Swags from Country ambassadors, and University ambassadors early as possible. Not bad to print your own swags also at this angle is where sponsors can play a part 😎.

During the event, days provide resources and support: Ensure that participants have access to the necessary technology, software, and datasets to complete the challenge. Consider providing training or mentorship to help participants develop their skills and complete the challenge successfully this can be done way before the event.

Host the event at your University: On the day of the event, ensure that all logistical and technical requirements are in place. Consider providing food, drinks, and other amenities to keep participants engaged and energized throughout the event. This can be one-day physical hosting and the second day be conducted virtually.

Consider writing an event report: Evaluate the event after the event, and collect feedback from participants and the planning team to identify strengths and areas for improvement. Use this feedback to inform future events and to build on the success of the current event. Share the report with University Administration leaders, Department Leaders, and Sponsors this will be much better to prove that you understand what your doing I’m sure next time you need their support they will be knee to help you.

If you don’t have an account on Zindi join today through the link below 👇

Zindi

Final Thoughts:

Thank you for following along with this article consider sharing it with others so that they can make the most out of UmojaHack or any other events at the University level.

It is much better for University administration to know about the event even a month/two weeks before to sort out challenges and provide support to students in case of food, accommodation and management support, etc
In case you have any inquiries, feel free to reach out to the Zindi community at zindi@zindi.africa or the community coordinator at delilah@zindi.africa

All the best in the coming umojaHack, get ready to bring solutions to African challenges. Ciao.

Just because a job position is open doesn’t mean it’s time for you to send your resume.

It is common for most job applicants just to send their resume to the open job position, having a resume doesn’t mean can fit every job in your field of study or just send it to whatever job position comes across your way.

Possibly the most stressful phase of the entire job search is turning in your application for a position. However, by making sure everything has been thoroughly checked, it is possible to avoid unpleasant circumstances or surprises.

So, what are you supposed to do?

This doesn’t include only your resume. It’s also true for researching the company, the area, and everything else that comes with applying for the opportunity.

I’m producing this article to emphasize the critical steps a person/applicant should take before submitting a resume to any job application.

Research the company:

Research the company in question. It is a waste of time to apply for a job that is incompatible with your skills or interests. As a result, you must thoroughly examine their website, careers page, and content offerings.

A lack of knowledge ought to bother you. Contacting both a current and a former employee is the greatest approach to arm yourself with information in advance.

Understand the job description:

As always winning a job interview starts with a first good quality resume, but before a quality resume thinks of what you are capable of in that open job position. That means you are supposed to read the job description carefully twice or more than that to catch up with what that specific job requires.

Create or Update your resume:

Regardless of whether you had a résumé before or not. Don’t hesitate to hone your capabilities. Go ahead and tailor your skills and experience to reflect that you can execute the work without much assistance or guidance based on your previous experience. Not just for the experienced, but also for grads, you may demonstrate that you can learn quickly and be innovative and creative in that position by including some of the previous projects that make you proud and display your creativity.

The ideal strategy to show that you are the best fit for the job posting while avoiding adding more irrelevant skills is to rank your capabilities according to how closely they relate to the position. This will save you time and HR trying to understand your skills and enable them to quickly understand you.

Although it may seem like an art, taking this step will give you a decent probability of getting an interview.

Look for Resume Reviewer:

Keep in mind that even the greatest writer in the literary world needs the help of the editor. You can read it, re-read it, and proofread it ten times, but it is always good to take a second opinion.

If you have done this before you know how much is helpful and for someone new to this already thought about involving some people from your network to review what you have on your resume.

Maximize Your Job Search Success: Resume review is not an issue!

Involving experts is really important to get valuable insights and feedback that can help to improve and highlight your strengths to make your resume stand out.

Final Thoughts:

I hope this article provided you with some interesting takeaways.

At Dproz we assist individuals like you in developing standard resumes with top-notch styles to demonstrate skills for the Tanzania employment market, We went a step further by helping people match their talents to career positions and then making recommendations along with a list of relevant possibilities for each resume.

Additionally, Dproz offers resume evaluations by experts in the relevant field, who make advice in relation to your qualifications and the position you’re applying for.

Are you tired of submitting countless job applications with no success?

Do you feel like you’re missing out on the perfect opportunity despite your qualifications and experience?

It’s time to take a step back and reassess the most crucial component of your job search your resume. Yes, Resume. A polished and well-presented resume can make all the difference in catching the attention of recruiters and landing that dream job.

But how do you ensure that your resume stands out from the rest?

The answer is simple by seeking the help of experts in the field.

Why resume review is much important?

Finding work can be a difficult and time-consuming process. Making your resume stand out from the competition is crucial because there are so many candidates seeking the same employment. This is where professional resume reviewers can be useful. You can boost your chances of success and secure the job of your dreams by receiving a professional’s insights on your resume.

You might be looking for a job in a specific industry or just trying to improve your overall resume. Involving experts is really important to get valuable insights and feedback that can help to improve and highlight your strengths to make your resume stand out. More reasons for getting your resume reviewed can be:

1. How strong is your resume? — Your resume acts as a bridge between you and the prospective recruiter, for you to make an impression it is essential for your resume to stand out from folks you trust first. Sometimes it is difficult to provide credit for something you have created on your own better to get a second view.

2. You don’t know what you don’t know On your resume, you might list red flags. How about your knowledge of different languages or your achievements? Often, you may not be aware of particular content that is suitable to include on your resume, and a review, especially by someone you know well, can assist to detect those missing aspects.

3. Having a good resume, helps to remember everything you have done and achieved in your professional career. Keep in mind that even the greatest writer in the literary world needs the help of the editor. You can read it, re-read it, and proofread it ten times, but it is always good to take a second opinion.

If you have done this before you know how much is helpful and for someone new to this already thought about involving some people from your network to review what you have on your resume.

So how do you go with it? May just send emails to the folks I trust and wait for them to get my resume reviewed or even have a chat with them through socials or even direct contact.

For someone who did a resume review before you know how this may be hectic, figure out how you can come up with all the reviews and share them with whoever asked. Before I used google docs which is easier to share and no need of sending actual documents of your reviews or drafting an email or even text.

But still not much organized. What if everything is placed in one platform which you used to build your resume? That sounds good, right?

What I mean here is the platform you used to create your resume has room to invite people to review your resume without a hassle.

Thanks to Dproz for making life easier, everything on the right position. With the platform, you can create your professional-looking resume, get your resume reviewed by experts, or invite people of interest to review what you have before your job application. This will foster improvement on your resume.

The best thing about Dproz resume review features is easier to interact with, resume review process is grouped into sections in such a way a reviewer will be able to navigate through every section and write his/her recommendations for you.

Final thoughts:

Your resume is your brand, make sure to portray you as a good professional or a budding professional who is ready to face this challenging world. Get started with Dproz today. Create a custom, professional resume that tells your career story.

Congratulations on reaching another milestone in your career; now it’s time to look for a job where you can apply your skills to real-world problems.

As this is your first time going through the process of defining your talents and abilities, putting everything in a resume, and waiting for a first-round interview, you could feel anxious and confused when looking for a job.

Coming out with a bunch of questions, ending in a dilemma of how to build a resume like

• What resume format is the best to go with?
• What and where i can get resume templates?
• Which is the best flow for defining and compiling my skills stack?
• What resume length is the best for graduates?

You may have things to write on your resume but lack the resume writing skills or get things accumulated to be written following the best resume format that exists. Stay with me until the end of this article to get assistance with every question above with recommendations on how you can create the outstanding resume that you have been looking for. An exceptional resume is a key to the professional realm that may increase a chance to win an interview.

Before going any further, you should be aware that the first step in getting hired for any job you apply for is how well you prepared your resume. In the cutthroat job market of today, applicants are often turned down even before they are invited to an interview where they may be competing with other candidates.

On addressing key issues to create an outstanding resume, let’s discuss some of the best practices:-

Resume format and sections:

The format of the resume depends on experience, education, and the kind of job you are applying for, recently graduate recommended format is functional or combination resume formats while experienced professionals with several years in career path recommended using a chronological format.

The functional resume structure allows employers to quickly understand how your strengths relate to the job description and places less importance on the specific timeline of your professional experiences.

The functional resume format begins with an introductory summary, contact information, a group of your skills, a list of professional experience you do have, and the last thing is a list of your education.

Selecting Resume templates:

Ask yourself, “Who am I?” can be the best way to decide which template to go with. This can vary depending on roles for example a graphics designer might select a template to show how is she/he good at designing. However, suggested templates should be simple, straightforward, and expert-looking.

So, where to get those simple, straightforward, and expert-looking resume templates?

At Dproz they offer resume templates that are appropriate for different levels of expertise. Dproz professionals make every attempt to match your talents and years of experience with the ideal resume template.

On Defining Skills:

Freshers tend to be totally clueless about what to include in their resumes Being engaged in school and college assignments and projects all their lives, the professional atmosphere, its mannerisms, and rules tend to all go over their heads when they step into the corporate or professional world initially.

To write a resume in the best resume format one must go through resume examples and resume guides such as this. There are also several online resume makers and resume reviewing sites that can help you improve and even create your first resume.

Be cautious while identifying your skills because they reveal what you are capable of and what you can provide. Be precise and make an effort to match the role you are applying for.

At Dproz they have streamlined the process and collected at least one set of on-demand talents for each job title; all you have to do is choose the ones that best describe you.

Consider tailoring your resume to a particular position:

Every job application should include a customized resume tailored to that position; utilizing a generic resume to apply for multiple positions is not a good idea. Every application you make should take into account creating a fresh resume tailored to the job in question.

Although tailoring a resume to a specific job is desirable, starting to build a resume from scratch each time is tiresome

Dproz solved the puzzle for you, they have simplified this by providing candidates with an awesome feature to duplicate or make copies of existing resumes and this makes it easier to tailor resumes to a particular job, saving time and bringing you peace of mind.

Final Thoughts:

I appreciate you reading this article, which will help you become a better resume writer. At Dproz, they assist individuals like you in developing standard resumes with top-notch styles to demonstrate skills for the Tanzania employment market.

Additionally, Dproz offers resume evaluations by experts in the relevant field, who advise on your qualifications and the position you’re applying for.

This article was originally published on the Neurotech Africa blog posts.

Are you a data professional, engineer, or aspiring person to grow in NLP fields?

Yes, this is for you

One of the best methods to stay current with all the newest technologies and tools connected to NLP in the tech industry is to join NLP communities.

Tech communities are beneficial in keeping tech enthusiasts updated and motivated in building impactful tools even in idea growth, also project success. You may be working in the same industry, and having a channel to meet with different folks working in the same industry can help you on improving your expertise but also in time expose you to new tools. I bring this up because it is one of the strategies I have been using for more than four years.

I came across many people asking about NLP communities to engage and grow their expertise from that experience, I planned to put every piece together and share with folks out there.

I hope this will help a lot of folks looking for these communities, stay with me to explore the NLP communities.

Masakhane:

Masakhane pushing to build datasets and tools to facilitate Natural Language Processing in African languages and pose new research problems to enrich the NLP research landscape. A research effort originally for Machine translation focused on African languages that are open-source, continent-wide, and distributed online. It aimed to build a community of Natural Language Processing researchers, connect and grow it, spurring and sharing further research to enable language preservation, tool building, and increasing its global visibility and relevance.

Amazing works being done by Masakhane in the African NLP space

You can join Masakhane slack community workspace through 👉 Join here

You can join the Masakhane mail list group through 👉 Join here

NeuralSpace Community:

A group of NLP enthusiasts led by NeuroSpace company with the mission to create a platform that helps bridge the massive language gap, that is prevalent around the world and prevents many from accessing vital services or education.

They do use slack as a channel for exchanging information and organizing NLP events with collaboration from experts from Meta AI, NeuralSpace, LoResMT, and Masakhane.

You can join NeuralSpace slack community workspace through 👉 Join here

Hugging Face Community:

A place where a broad community of data scientists, researchers, and ML engineers can come together and share ideas, get support and contribute to open source projects.

Hugging Face is a community and data science platform that provides tools that enable users to build, train and deploy ML models based on open-source code and technologies.

It is one of the most awesome community I have ever encountered in the NLP space, each day people share cutting-edge tools which are essential to the NLP ecosystem. Everyone can exchange and examine models and datasets at the Hugging Face central hub. In order to democratize AI for everyone, they aspire to become the location with the largest collection of models and datasets.

You can join Hagging Face community workspace through 👉 Join here

Spark NLP:

Slack group for developers and Spark NLP users to help get started to solve common NLP use cases and exchange ideas on best NLP practices. This community was built on the grounds of knowledge and communication management.

SparkNLP_NER - a Hugging Face Space by spark-nlp

You can join the Spark NLP community slack workspace through 👉 Join here

Lanfrica Community:

Lanfrica aims to mitigate the difficulty encountered in the discovery of African language resources by creating a centralized hub. They do organize a series of talks to highlight and showcase language technology efforts (research, projects, software, applications, datasets, models, initiatives, etc.) geared towards under-represented languages around the world.

Lanfrica is equally interested in efforts targeting (or that can be transferred to) low-resource languages (these are languages with not much data, societal/research efforts or technologies, and recognition) and endangered languages.

You can join the Lanfrica community mailing list through 👉 Join here

You can join the Lanfrica community slack workspace through 👉 Join here

Other DS & ML Communities:

Kaggle: is a well-known data science competition platform. It boasts a community of over 5 million users, where you can compete and share data sets and projects. Inside Kaggle you’ll find all the code and data you need to do your data science work. Use over 50,000 public datasets and 400,000 public notebooks to conquer any analysis in no time. The best thing I like about kaggle is they have a well-structured and interactive learning environment even for beginners to start their journey in data science and machine learning.

Zindi Africa: for sure this platform played an essential role in my career, not saying like dumped everything in my head but I consumed a lot of challenges to improve my data science understanding.

Zindi hosts the largest community of African data scientists, working to solve the world’s most pressing challenges using machine learning and Artificial Intelligence.

You can join the Zindi community through 👉 Join here

Driven Data: works on projects at the intersection of data science and social impact, in areas like international development, health, education, research and conservation, and public services. They focused to give more organizations access to the capabilities of data science and engage more data scientists with social challenges where their skills can make a difference.

DataTalks: This is another awesome community I do prefer to join their events and training programs. DataTalks is the place to talk about data, the global online community of data enthusiasts. Also, they do post their events on youtube through their channel, which is a very resourceful platform for data professional growth.

You can join the DataTalks community slack workspace through 👉 Join here

MLOps Community: The great community for learning topics related to machine learning models into production, they fill the swiftly growing need to share real-world Machine Learning Operations best practices from engineers in the field.

MLOps community hosts weekly talks and fireside chats about everything that has to do with the new space emerging around DevOps for Machine Learning aka MLOps aka Machine Learning Operations.

Curious to dig more about this awesome community?

You can join the MLOps community slack workspace through 👉 Join here

Final Thoughts:

When it comes to the advancement of AI, the open-source community is becoming more and more significant. Sharing information and resources to advance and advance is where the future is headed because no firm, not even the tech giants, will be able to “solve AI” on their own!

I hope this article opened new thoughts in the machine learning space, please spread the love by sharing with others on socials.

NLP Communities for Data Professionals to Join was originally published in Neurotech Africa on Medium, where people are continuing the conversation by highlighting and responding to this story.

This article aims to convey the cutting-edge strategies businesses may use to operate more efficiently while yet providing exceptional customer service with minimal to no human effort.

The original work of this article was published in the Neurotech Africa blog post.

What process have you been employing to serve time for your company’s customer service?

That sounds wonderful, okay? Dealing with challenging clients is never enjoyable. But what happens when your favorite customer or even just a person who isn’t being impolite has a grievance to air? You can expect customers of all types to complain to your company at some point, so why not be ready to handle it?

I’ll be providing an excellent technique today that will revolutionize customer service in your company. As a business, responding to consumer inquiries can occasionally be frustrating, especially if done by the same person daily. We rely on a variety of circumstances to be in a good mood, therefore answering the same question repeatedly irritates us.

Now as a company you can address the issue by automating your customer service with chatbots. Instead of using chatbots as a fad, the goal is to enhance customer service, cut expenses, and provide a channel for managing consumer feedback. Now you may be asking how?

Chatbots In Customer Service - Statistics and Trends [Infographic]

According to startupbonsai and Statista reports from 2017, businesses with the finest tactics are improving their sales and revenue by using chatbots.

It’s time to address your inquiries about how this might be used in your business. One of the innovative techniques is to employ Frequently Asked Questions (FAQs) Chatbots.

What is Frequently Asked Questions Chatbots mean?

They are computer programs created to respond to typical inquiries customers make about a good or service. These chatbots are frequently employed in applications for customer support or on websites. They can eliminate labor-intensive chores like answering repeatedly asked queries thanks to their capacity to automate.

The noble truth 50% of customers don’t care if they are speaking with live people or virtual assistants with artificial intelligence. In these highly competitive times, chatbot quality has increased significantly.

These programs can be employed by any business to provide customer support in answering frequently asked questions 24/7 ineffective way, instantly and with curated content, through integration with business socials, websites, and mobile applications depending on the channel that clients are comfortable with.

Businesses are using chatbots more frequently every day, which indicates that they have a lot of potentials and are growing in popularity. Chatbots are now most frequently utilized on social media platforms.

Transform Customer Experiences by Utilizing AI and Automation

Why are FAQ chatbots potential in nowadays businesses?

Chatbots with FAQs have a lot of advantages. Most importantly, they increase workplace productivity. You have more time to focus on other business objectives and activities like marketing and sales because you spend less time responding to messages.

The following list of advantages should convince you to get a chatbot:-

Operating in Multiple Channels:- The same automation can be deployed across different channels such as social platforms, websites, and mobile apps. Also, it can be supportive of different language’s responses like, users may question may be asked in Swahili or English and respectively replies accordingly.

These can help businesses to outreach their customers across different areas and communicate with them using their native languages.

Reduce operational costs and Increase response rate:- Implementing a fully functional chatbot is much more advantageous and cost-effective than developing a closed platform application or hiring humans for each task, so chatbots can assist your employees with simple, repetitive activities.

Chatbots provide immediate responses to multiple customers at once. No, waiting on consumer questions when the FAQ chatbot is used to address all the repetitious issues that don’t really require human service.

Eliminate human error:- The main advantage chatbots have over people is the fact that they won’t make the same mistakes people do. Only using the details you provide, FAQ chatbots will respond to your inquiries. This means that if the information is accurate, they will relay accurate information to your customers.

Additionally, unless you intentionally make them that way, they cannot be impolite or indecent, this could be a clever marketing ploy. Although they may be hostile, a chatbot will never attack one of your clients.

Seamless Collection of feedback:- However, it is not always simple for firms to encourage clients to complete surveys or feedback forms. Mind you, every business needs feedback because it tells you how satisfied customers are with your goods and services. Implementing chatbot services will help businesses prevent such situations as they’ll have a better feedback loop, improve customer relations, and have better user data.

Mistakes to avoid when implementing chatbots for your business

It’s crucial to speed up customer service response times. When done correctly, it can not only help you increase customer satisfaction and boost the reputation of your business, but it can also increase organizational efficiency.

Final thoughts

Are you prepared to use tremendous automation and AI capabilities to change your client experience?

Both customer retention and the reputation of your business depend on effective customer communication. The efficacy of the chatbot technique differs from company to company. To find the solution that best suits your needs, contact Neurotech after first studying the workflow and performance of your support team. This will make it simple to keep track of customer answers and time.

Interactions with chatbots are more interesting and assist you in developing specific offers for your target market depending on their preferences. Online entrepreneurs can incorporate poll questions into chatbots to collect data without wearing down their clients with a feedback cycle.

Neurotech Africa can help you to develop the entire automation of the FAQ tool for your business, get in touch or info@neurotech.africa with us right away.

The Most Effective Technique for Reducing Customer Service Time was originally published in Neurotech Africa on Medium, where people are continuing the conversation by highlighting and responding to this story.

Highlighting how the use of automation and artificial intelligence technologies has the potential to change how customers interact with the company.

This article was originally published in the Neurotech blog post.

Are you having trouble enhancing the customer experience of your business?

A lasting relationship with customers depends on providing a quality customer experience. Ultimately this depends on a range of factors, including providing high-quality services and offering assistance when customers need it. A rapid and significant increase in call volume affected a variety of industries, including healthcare, banking, insurance, travel, and many others, putting contact center managers and agents under strain like never before. When contact center agents lacked the necessary resources and infrastructure to operate remotely, the situation deteriorated, having a negative effect on callers and a high agent turnover rate.

But why do I bring this up? In the modern world, every company needs to have a clever customer experience strategy. To enhance the customer experience from beginning to end, a solid customer experience strategy is required. Customer loyalty and retention can both be increased with good customer experiences. Additionally, it can aid in converting clients into devoted brand evangelists, thereby raising your customer’s lifetime value.

Let’s examine the ways that AI and automation might fundamentally alter customer experiences:-

Personalized Customer Experience:- Customers’ behavior may alter over time, however, it may be challenging to keep up with this pattern and provide what would be appropriate in particular. Using AI-powered technologies can help to recommend goods and services based on customers’ prior interactions.

The ability to categorize customers into groups based on behavior and develop products for each group is one advantage of having appropriate knowledge about previous contacts between your organization and customers.

You may develop and implement the best marketing strategy with the aid of this information, you have a good possibility of standing out from the competition and giving your customers a high-quality experience if this is implemented properly, I make you that.

Real-Time Customer Support:- With virtual assistant that actively offers advice and pertinent information to customers during their interactions with them to help them in real-time facilitating agents’ better and more effective handling of consumer inquiries.

Seamless Collection of feedback:- However, it is not always simple for firms to encourage clients to complete surveys or feedback forms. Mind you, every business needs feedback because it tells you how satisfied customers are with your goods and services. Implementing chatbot services will help businesses prevent such situations as they’ll have a better feedback loop, improve customer relations, and have better user data.

Operating in Multiple Channels:- Customers today frequently use social media for interaction and customer service. However, this outreach is typically neither timely answered nor even given any consideration. One explanation could be that firms have limited resources and may not want to hire more staff for social media platforms. This issue can be solved by chatbots for customer service by automatically responding to users’ social media inquiries.

Social bots can easily carry on discussions with users in order to help them. I’m sure by offering customized material and predicting user reactions, they can also assist in fostering closer relationships with customers.

Question Answering Automation:- aims at delivering concise information that contains answers to the user questions. As a company, you should think of how do you handle repetitive queries?

Doing the same thing, again and again, is boring, creating consistency and effectiveness AI can play this role by automotive chatbots to handle user queries at anytime 24/7 via their own natural languages.

FAQ-based chatbots have a lot of advantages and significantly increase business productivity. You can focus on other business objectives and spend more time on marketing or sales if you spend less time replying to messages.

Sarufi | Conversational AI

Final thoughts

Are you prepared to use tremendous automation and AI capabilities to change your client experience? To build a next-generation customer experience solution at scale and elevate the customer experience using Neurotech Conversation AI, get in touch or info@neurotech.africa with us right away.

Transform Customer Experiences by Utilizing AI and Automation was originally published in Neurotech Africa on Medium, where people are continuing the conversation by highlighting and responding to this story.