I'm an aspiring AI Product Manager with a background in Data Science, Machine Learning, Analytics, and AI Engineering.

I enjoy taking products from an idea to a working solution by combining product thinking with modern AI technologies. My work focuses on building practical AI systems powered by LLMs, automation, and data rather than experimental prototypes.

Currently focused on building my data science portfolio and exploring opportunities in recommendation systems, personalization, and human behavior analysis — particularly in finance, healthcare, e-commerce, and marketing domains.

Recent highlights:

• Portfolio Optimization Project: Analyzed 10 stocks across 5 sectors with sophisticated backtesting that outperformed the S&P 500
• Inboxd: AI-powered job search assistant that gained 100+ users in 48 hours
• YouBuy: Multimodal search engine for e-commerce
• Sales-Marketing Analytics Framework: 9-module end-to-end analytics framework (87% LTV prediction accuracy, 83% churn detection, 98% sales forecasting R²)

Data Science Intern @ MetroPlus Health, New York
Customer segmentation on 30k+ records, delivering actionable insights for targeted healthcare initiatives and outreach

Graduate Student Assistant & Graduate Peer Mentor @ Stevens Institute of Technology, New Jersey
Managing analytics and engagement for 4,000+ graduate students, mentoring incoming grad students for the last 3 semesters

Data Analyst Intern @ Ixia Solutions, India Built data pipelines and dashboards for business intelligence

Most of my projects dive deep into DATA — check out my repositories for source code and detailed documentation. Here are some highlights:

• Multimodal E-Commerce Search Engine: CLIP embeddings + LSH approximate nearest neighbor search with association rule mining
• Federated Learning Recommender System: Privacy-preserving recommendation system with advanced FL techniques (FedProx, adaptive FedAvg+)
• Legal Document Understanding Assistant: Abstractive summarization using Pegasus, fine-tuned on Indian court cases
• Graduate Admission Predictor: ML model deployed with Streamlit

Beyond the technical work, I'm genuinely curious about the world:

Professional interests: Machine learning algorithms, statistics, NLP advancements, financial engineering, stock investments, recommendation systems, and behavioral analytics

Personal passions: Reading (fiction, non-fiction, self-help, autobiographies — pretty much everything), music and coffee (better than therapy), baking, space and ocean exploration, psychology and human behavior, traveling, and photography (especially skies and clouds)

Also: I occasionally write blogs, play guitar, and yes — I can talk to parrots. 🦜

Tools & Platforms: BigQuery, dbt, Tableau, Git, Docker, AWS, Streamlit

I could watch this forever.