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jellyfishing2346/README.md

πŸ‘¨β€πŸ’» Faizan Khan

Software Engineer β†’ Quantitative Finance

FinTech ML Engineering Β· Credit Risk Β· Fraud Detection Β· Systematic Trading CS @ Brooklyn College Β· Open to FinTech roles

Typing SVG


🏦 FinTech Projects

Project Stack Description
Quantitative Trading Framework Backtrader Β· QuantStats Β· yfinance Β· Plotly Dash Momentum + mean-reversion signals backtested over 4 years. Sharpe 0.74. Walk-forward validated, real transaction costs.
Credit Risk Scoring Engine XGBoost Β· SHAP Β· FastAPI Β· PostgreSQL Β· Docker End-to-end loan default prediction. ROC-AUC 0.79, 307K records, REST API with adverse-action SHAP explanations.
Fraud Detection Engine Kafka Β· Redis Β· XGBoost Β· FastAPI Β· PostgreSQL Real-time transaction scoring at 2ms. ROC-AUC 0.98, 89% fraud recall, 0.08% false positive rate. Built solo in 8 weeks.

πŸ”₯ Tech Stack

FinTech & ML

Python XGBoost Pandas Kafka Redis

Backend & APIs

FastAPI Node.js Django Flask Go

Frontend

React Next.js TypeScript TailwindCSS Angular Vue

Database & Cloud

PostgreSQL MongoDB AWS Docker


πŸš€ Currently

  • Building β€” Quantitative trading framework with walk-forward validation across 500+ S&P 500 tickers
  • Reading β€” Advances in Financial Machine Learning by Marcos LΓ³pez de Prado
  • Exploring β€” How production ETL patterns translate to real-time market data pipelines: TimescaleDB vs kdb+

πŸ“Š GitHub Stats

GitHub Streak

Top Langs


πŸ“« Let's connect

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