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pieterrotteveel/README.md

Hi, I'm Pieter Rotteveel

BSc Economics student @ Bocconi University. I love coding and applied data analytics and science.
Interested in quantitative finance and economics, machine learning (delving into neural nets), statistics, probability science and problem optimization.

Stack: Python · R · SQL · Excel
Tools & libs: NumPy · pandas · scikit-learn (Random Forests) · XGBoost · LightGBM · statsmodels · matplotlib · Plotly · Jupyter · Git/GitHub · Docker · (learning: TensorFlow/PyTorch)

Languages: Dutch · English · French · Greek · German

📫 GitHub: https://github.com/pieterrotteveel
📧 Email: pieterrotteveel.github.com

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  1. Predicting-Loan-Payback Predicting-Loan-Payback Public

    End-to-end notebook for training gradient-boosted models (LightGBM & XGBoost) to predict whether a loan will be paid back. Includes lightweight EDA, feature engineering, cross-validated training, a…

    Jupyter Notebook 1

  2. Optimal-Betting-Kelly-Criterion Optimal-Betting-Kelly-Criterion Public

    Quantitative analysis of optimal bet sizing using the Kelly Criterion under varying odds and probabilities. This project explores how bettors can maximize long-term wealth growth when having an edg…

    Jupyter Notebook 1

  3. Option-Pricing-Utilities Option-Pricing-Utilities Public

    My utilities for European option pricing and risk under the Black–Scholes–Merton (BSM) model. Including also the Greeks.

    Python 1

  4. Python-Basic-Portfolio-Tracker Python-Basic-Portfolio-Tracker Public

    A command‑line portfolio tracker that reads your trades from a CSV file and pulls live data (price, dividends, day & month moves) from Yahoo Finance via yfinance.

    Python 1

  5. Stock-Price-Regression-Model Stock-Price-Regression-Model Public

    First attempt at uploading, cleaning and using machine learning to predict return on stocks.

    Python 1

  6. Data-Cleaning-Utilities Data-Cleaning-Utilities Public

    My collection of utility functions for cleaning, reshaping, and transforming Pandas DataFrames.

    Python 1