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Achievements

Achievement: Pull Sharkx2Achievement: QuickdrawAchievement: YOLO

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mateo020/README.md

Hi , I'm Mateo Arcos Image


Image

Image About me


  • Proficient in SQL query language and database design, gained through coursework in Introduction to Databases and experience with Postgres SQL.
  • Skilled in software design and development tools, including object-oriented development, design patterns, refactoring, and unit testing.
  • Strong foundation in data analysis and research, demonstrated as a Research Assistant at AR Environmental Solutions.
  • Proficient in Python and R for working with large datasets.
  • Fourth-year student at The University of Toronto pursuing a Statistics major and minors in Computer Science and Mathematics.



Image Skills


  • Interets:

    Machine Learning Statistical Analysis Data Science


  • Languages:

    Python Java Flask C R


  • Databases:

    MySQL Postgres Other SQL


  • Extras:

    Git Linux




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  1. UTM-Course-LLM UTM-Course-LLM Public

    An intelligent course exploration system for UTM students, powered by advanced NLP and graph visualization.

    Python

  2. NoteNet NoteNet Public

    This project converts lecture recordings and handwritten notes into a personalized knowledge graph. It extracts key topics and concepts from audio and image inputs using AI to help students.

    Python

  3. workout_tracker workout_tracker Public

    Developed a personal project—a fitness tracker web application using Flask and Python. Integrated MetaMotion sensors and trained a machine learning model to accurately predict exercises like bench …

    Python 2

  4. CyclingCollisions-Data CyclingCollisions-Data Public

    Data exploration utilizing python pandas and mathplotlib libraries. Using dataset on cycling collisions in the city of Toronto

    Jupyter Notebook

  5. LucasNH/CSC413-Final-Project LucasNH/CSC413-Final-Project Public

    Final project repository for CSC413H5 F 2023

    Jupyter Notebook

  6. Bike-Rental-forecasting Bike-Rental-forecasting Public

    Construct a predictive model using linear regression, with the aim of forecasting the volume of bike rentals within the Capital Bikeshare system, leveraging the available dataset. Our intention is …

    Jupyter Notebook