Full Stack Developer2025

ML-Based Stock Decision Support System

  • Python
  • FastAPI
  • Next.js
  • PostgreSQL (Supabase)
  • Scikit-Learn (Random Forest)
  • Pandas
  • Rest API
  • YFinance API

Overview

Engineered a quantitative stock decision support system fusing fundamental and technical data to mitigate retail investment risks. Architected a decoupled Next.js and FastAPI infrastructure with automated ETL data pipelines for daily EOD market data ingestion. Implemented a Random Forest classifier optimized via SMOTE, successfully filtering out 126,000+ value traps. Delivered Explainable AI feature importance to ensure completely transparent, objective, and risk-adjusted trading decisions.

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