Maryland Crime Data
Exploratory data analysis performed upon a dateset of crime statistics of Maryland Washington between 1975 and 2020. The best data practices were adopted when handling, cleaning and manipulating the data.
Learn more
A deep dive into the weekly statistics of 45 Walmart stores across the USA. The analysis revolved around each store's average weekly sales, average weekly temperature, type and size. This was a group project completed during my time at BrainStation.
Learn more
This project aims to figure out what determines the success (or downfall) of different students. I wanted to observe if any apparent hypotheses are oversights and if there are some hidden insights that I can find and if so why? The data cleaning and analysis was done in SQL and the visualisations were generated using Tableau.
Learn more
Inspired by my childhood love for Pokémon games, this project extracts uncleaned data of various Pokémon games from a Wikipedia page using Python. The extracted raw data is saved as a CSV file and cleaned using Python. I utilised libraries such as BeautifulSoup and Pandas to parse and structure the data, showcasing my ability to scrape and handle data from online sources and clean data in Python.
Learn moreHere are some other notable projects of mine. Feel free to check them out!
Exploratory data analysis performed upon a dateset of crime statistics of Maryland Washington between 1975 and 2020. The best data practices were adopted when handling, cleaning and manipulating the data.
Learn more
An archive of every mini assignment project that I have completed from Harvard's CS50 courses. Languages that I have studied in these courses are Python, C and SQL. Concept that I have learnt range from testing code in Python to querying in SQL.
Learn more