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TomSbados/README.md

About Me:

I'm an aspiring data scientist with a strong foundation in mathematics and research experience. I excel in tackling regression tasks and enjoy exploring the realm of LLMs and Reinforcement Learning. Additionally, I possess skills in classical machine learning and the necessary mathematical knowledge to support my work. I am looking for roles involving the full data lifecycle and am eager to learn and improve my skills.

Personal Website 💻 Website

Social media 📡 LinkedIn

Algorithms 🧪 LeetCode

Favorite Projects:

Coding Scikit-Learn from Scratch (Slowly but surely)

Geodesics and Brownian Motion

Training a Language Model on my Latex Homework

Languages and Tools

Languages:

Python3 JS
Python JavaScript

Best frameworks and main libraries for Python3:

Pytorch Selenium Numpy Pandas Sklearn OpenCV
Pytorch Selenium Numpy Pandas sklearn mpl

My tools for Data Manipulation & Visualisation:

Conda Jupyter MySQL Postgres SQLite Plotly Matpltlib
Conda Jupiter MySQL pg SQLite pltly pltly

Environments, Testing, Other:

nodejs Git Docker Pytest
NodeJS Git Docker pytest

snake

Popular repositories Loading

  1. Interview-Practice-Questions Interview-Practice-Questions Public

    Some simple practice questions for working with pandas and sklearn.

    Jupyter Notebook 1

  2. Project1 Project1 Public

  3. Random-Walk-on-HyperSphere Random-Walk-on-HyperSphere Public

    Code for random walk on a sphere using Geomstats.

    Jupyter Notebook

  4. Monte-Carlo-Heat-Kernel Monte-Carlo-Heat-Kernel Public

  5. Math197 Math197 Public

    Jupyter Notebook

  6. Varadhan-s-Formula-for-Distance-Computation-in-2D Varadhan-s-Formula-for-Distance-Computation-in-2D Public

    Jupyter Notebook