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Gaze31/README.md

Hi, I'm Sumedha 👋

Quant finance and ML engineer with an M.Com Finance background. I build factor models, credit risk systems, NLP pipelines, and derivatives pricing engines — all production-grade, all with documented results.

3 merged PRs to yfinance (22k+ ⭐)

🔍 Open to quant/ML engineering roles · Remote globally

💼 LinkedIn 🔗 Freelancer 🚀 Live API 📧 sumedha.hunekar31@gmail.com

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  1. alpha-engine alpha-engine Public

    Multi-factor alpha engine on Nifty 50 — momentum & mean-reversion factors. Sharpe 5.87, 146% return. Walk-forward validation, Deflated Sharpe Ratio.

    Jupyter Notebook

  2. credit-risk-api credit-risk-api Public

    Production REST API for loan default prediction. Gradient Boosting on 32,574 records. AUC-ROC 0.958. Live at credit-risk-api-t8m1.onrender.com/docs

    Python

  3. finance-ml finance-ml Public

    finance-ml → LSTM, GRU, DQN and NLP sentiment models applied to financial forecasting

    Python

  4. options-analytics options-analytics Public

    Derivatives pricing from scratch — Black-Scholes, Binomial CRR, Monte Carlo (100K paths), Asian options. Put-Call Parity verified to 0.000000.

    Jupyter Notebook

  5. finbert-sentiment finbert-sentiment Public

    FinBERT NLP pipeline — Macro F1 0.96 on 3,453 sentences. 4-stage: TF-IDF → BiLSTM → fine-tuned FinBERT. Stress-tested on 30 live Yahoo Finance headlines.

    Jupyter Notebook

  6. algo-trading-simulator algo-trading-simulator Public

    4 strategies on Indian equities: Golden Cross (+8.32%), Mean Reversion, Momentum, Random Forest ML. Identified overtrading in 20/50 MA crossover — 804 trades, -37% return. 9 indicators from scratch.

    Jupyter Notebook