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All (7)
AI Engineering (1)
Collaborative Filtering (1)
Content-Based Filtering (1)
Data Engineering (1)
Databases (1)
ETL Pipeline (1)
LLMs (1)
Machine Learning (3)
NLP (2)
RAG (1)
Recommender Systems (1)
SQL (1)
Time Series (1)

Projects

A curated portfolio of my projects in data science, big data, machine learning, deep learning, and MLOps.

Production RAG System with Hybrid Retrieval, Citation Enforcement, and CI-Gated Evaluation

A production RAG pipeline featuring BM25+vector hybrid retrieval, cross-encoder reranking, enforced source citations with decline-to-answer behavior, and a three-vendor…

Customer Care ETL Pipeline

A simple extract-transform-load (ETL) pipeline that helps streamline customer care and support data.

Taxi Demand Prediction

An application to forecast the demand of yellow taxis in New York City.

YouTube Comment Intelligence

A Chrome extension for sentiment analysis on YouTube comments.

Food Delivery Time Prediction

A machine learning project that predicts how long a food delivery takes.

Olist E-Commerce Database

Designed and optimized a normalized e-commerce relational database (PostgreSQL → SQLite) using the Olist dataset, with BCNF validation, indexing, query performance analysis…

Spotify Hybrid Song Recommender

A song recommender system built using a hybrid approach of content-based filtering and collaborative filtering.

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