My Resume

Projects

NYC Taxi Demand Prediction

NYC Taxi Demand Prediction

Forecasted taxi ride demand using weather, event, and flight data.

  • Dockerized pipeline & deployed with MLflow on Chameleon Cloud
  • Improved prediction accuracy by 28%
  • Reduced retraining time by 40% using Airflow orchestration
Python XGBoost Airflow Docker MLflow
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NYC Crime Risk & Route Prediction

NYC Crime Risk and Route Prediction

Machine‑learning powered crime‑risk forecasting with real‑time routing.

  • 95% accuracy across 300+ neighborhoods
  • Reduced route risk exposure by 25%
  • Processed 500 000+ crime records
  • 40% reduction in API response time
Python Streamlit Flask Scikit‑learn JavaScript
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Optical Character Recognition App

Optical Character Recognition App

OCR system using OpenCV and Tesseract for high‑accuracy text extraction.

  • 95%+ recognition accuracy on 10 000+ images
  • 30% boost in OCR accuracy
  • 80% reduction in manual entry
  • 25% reduction in errors
Python OpenCV Tesseract Flask HTML/CSS
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Faculty Feedback System

Faculty Feedback System

Automated sentiment‑based review system with real‑time visualization.

  • 500+ evaluations automated per semester
  • 50% faster faculty review cycle
  • 30% improvement in UI experience
Python Power BI Node.js SQL HTML/CSS
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SYMBI‑MART E‑commerce Website

SYMBI‑MART E‑commerce Website

Unified on‑campus stores with AI recommendations and improved UX.

  • Boosted order volume by 50%
  • Integrated RoBERTa for smarter search and listings
  • Optimized inventory management for 3 stores
Node.js NCF RoBERTa JavaScript HTML/CSS
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NETFLIX-CLONE Website

Netflix-Inspired Streaming Platform

Recreated the Netflix experience with responsive design, seamless navigation, and dynamic media playback.

  • Implemented React.js and Firebase for a full-stack SPA
  • Enabled user authentication with real-time content updates
  • Integrated TMDB API for dynamic movie recommendations
Node.js NCF JavaScript HTML/CSS
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Document Classification & Extraction

Document Classification & Extraction

Automated NLP pipeline for document sorting and key‑info extraction.

  • 92% classification accuracy on 50 000+ documents
  • 40% improvement in classification precision
  • 60% faster document retrieval
  • 75% drop in manual overhead
Python TensorFlow BERT
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