- Final-year projects and one internship (Adani Power) split across two tracks: full-stack MERN systems and data analysis / ETL.
- Every metric below comes from measured testing on the actual project β latency numbers, model accuracy, record counts. None of it is estimated.
- Full breakdown of experience, education, and certifications is on the portfolio site β
πΉ BlinkChat β Real-Time Chat Application
Node.js Express.js MongoDB Redis React Socket.IO Jest
- Diagnosed a ~2.5s median message latency under cross-region load (Render Oregon β MongoDB Atlas Mumbai / Upstash Redis).
- Fixed it with Redis cache-aside validation and fire-and-forget cache invalidation β 81% latency cut, down to ~468ms.
- Solved message-ordering race conditions with server-side timestamps; built accurate seen-status tracking via Socket.IO acknowledgements.
- Isolated Jest integration suite (mongodb-memory-server) covering auth and messaging routes, including error paths.
πΉ AI Interview Coach
MERN Gemini OpenRouter Groq Hugging Face
- Built a multi-provider LLM routing system with circuit-breaker fallback across four providers.
- Load-tested against real provider failures (rate limits, timeouts) β 100% request success via automatic failover.
- Groq as primary provider, ~780ms median latency, roughly 3x faster than the Hugging Face fallback.
- Adaptive interview difficulty based on live user performance; resume parsing (PDF/Text) for personalized scenarios; automated PDF feedback reports.
β οΈ Repo name pending confirmation β verify this matches your actual GitHub repo before publishing.
πΉ Supply Chain Delay Prediction
Python SQL Power BI Random Forest
- Random Forest classifier with class-weight balancing for imbalanced delay labels β 87% accuracy, 18 points above the logistic regression baseline (69%).
- 93% precision on on-time order predictions.
- Full ETL pipeline: SQL ingestion β cleaning β feature engineering + one-hot encoding β model training β Power BI dashboard.
- SQL feature engineering using multi-table joins, CASE WHEN, GROUP BY/HAVING.
No live dashboard link exists in your source resumes for this project β add one if you have it.
πΉ IPL Analytics & Prediction Platform
Python Streamlit SQL DuckDB Plotly
- Warehoused 1,200+ matches and 294K+ deliveries into DuckDB via modular Python scripts.
- Season trends, venue par scores, toss impact, phase-wise team/player performance via interactive Plotly charts.
- SQL with CTEs and window functions (
QUALIFY ROW_NUMBER() OVER (PARTITION BY...)) for batter rankings. - Supporting ML models for win probability and score projection, deployed to a production Streamlit dashboard.
πΉ India Crime Analysis & Visualization Dashboard
Python Pandas NumPy Streamlit
- Cleaned and analyzed 10,000+ NCRB crime records; year-over-year trend analysis and state-wise comparison.
- Production Streamlit dashboard with choropleth maps, crime distribution charts, state-wise filters.
- Growth-rate forecasting projecting 2021β2023 trends per state; per-capita normalization for fair cross-state comparison.
- Web Development β Johns Hopkins University
- Node.js Backend Development β EDUCBA
- Advanced React β Meta
- Data Analytics Essentials β Cisco
- Data Analysis & Visualization Foundations β IBM
- OCI Foundations Associate β Oracle
