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arikgershman/README.md

Hi 👋, I'm Arik Gershman!

A rising senior at the University of Maryland, College Park, majoring in Computer Science with a minor in General Business. I'm passionate about leveraging data and technology to solve real-world problems, with a particular interest in Machine Learning as both a career path and a field of continuous learning.

This GitHub showcases my projects and analytical work, reflecting my journey in computer science and data science.

💡 My Focus & Interests

  • Machine Learning: Deep learning, predictive modeling, statistical learning.
  • Data Science: Data analysis, feature engineering, hypothesis testing, statistical inference.
  • Other: Financial Technology, AI Ethics & Regulations, Economics.

🔗 Connect with Me

LinkedIn Email

🛠️ Languages and Tools

Python Java C R OCaml Rust MATLAB x86-64 Assembly SQL

VS Code Eclipse Google Colab Microsoft Office Google Workspace GitHub

Pandas Matplotlib NumPy SciPy Scikit-learn TensorFlow Seaborn Jupyter

English Hebrew Russian

Top Languages

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  1. machinelearning-421 machinelearning-421 Public

    Neural networks built in Python/NumPy for classification & regression, including a Perceptron, MNIST classifier (>97% accuracy), and a language ID RNN.

    Python

  2. rating-predictions-320 rating-predictions-320 Public

    An end-to-end project that scrapes professor data via an API, engineers features, and trains regression models to predict ratings.

    Jupyter Notebook

  3. survey-analysis-320 survey-analysis-320 Public

    An end-to-end data analysis project including extensive data cleaning, feature engineering, rigorous hypothesis testing, and a comprehensive report on the findings.

    Jupyter Notebook

  4. weather-attendance-analysis-320 weather-attendance-analysis-320 Public

    A data analysis project using time-series decomposition (STL) and statistical tests in Python to investigate the correlation between weather and class attendance.

    Jupyter Notebook

  5. nfa-dfa-330 nfa-dfa-330 Public

    An OCaml implementation of a regular expression engine, featuring algorithms for converting regular expressions to NFAs and NFAs to DFAs via subset construction.

    OCaml

  6. microcaml-interpreter-330 microcaml-interpreter-330 Public

    A project demonstrating compiler design principles by building a functional language interpreter in OCaml, featuring lexical analysis, AST parsing, and dynamic type checking.

    OCaml