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Raeus1901/README.md

Hi, I'm Jean 👋

M.A. Quantitative Methods in Social Sciences, Columbia University
(Major GPA: 4.0 · A+ in NLP & Machine Learning · Overall: 3.92)
Currently based in France after living, studying, and working across five countries. Targeting roles in London · Zurich · Geneva.

I build time-series models, Bayesian inference pipelines, and NLP systems applied to financial markets. Previously Trade Analyst at Marex (energy derivatives, PnL tracking, sentiment tooling for morning reports). Certified NFA Series 3. I also write autonomous scripts and algorithms in my spare time.

Featured work
🔬 FinBERT × SARIMAX M.A. thesis — earnings-call sentiment vs renewable energy returns. Sentiment coefficient sign inverted pre/post-COVID (+79 → −90).
🍷 Wine Recommender Constraint-satisfaction chatbot. Relaxation fallback raises coverage 27% → 66% — same logic as portfolio optimization under active constraints.
📚 Columbia QMSS Coursework Bayesian stats (Stan/brms), ML, NLP, time series, social network analysis — 6 modules, 24+ labs.

Stack

Python · R / Stan / brms · statsmodels · SARIMAX · FinBERT · BERT · scikit-learn · XGBoost · SQL · PowerBI · Tableau · Flask · pandas

📫 jdt2175@columbia.edu · LinkedIn · France — open to relocation

Pinned Loading

  1. Master-Thesis-Time-Series-forecasting-with-FinBERT-and-SARIMAX Master-Thesis-Time-Series-forecasting-with-FinBERT-and-SARIMAX Public

    FinBERT × SARIMAX framework for renewable energy stock forecasting. Master thesis, Columbia QMSS 2024.

    Python

  2. wine_bot wine_bot Public

    Development for a Wine Assistant bot

    Python

  3. columbia-qmss-coursework columbia-qmss-coursework Public

    Columbia QMSS M.A. coursework — Machine Learning, NLP, Bayesian Statistics, Time Series, Social Network Analysis, Data Science

    Jupyter Notebook