Graduated as B.Tech CS (IoT), 2026 — Targeting SDE & Data Analyst roles
- Building full-stack systems with measured performance, not just working demos.
- Background spans real-time systems engineering (API latency, caching, fallback architecture) and data analytics (SQL, ETL, dashboards).
- Every metric on this page comes from testing on the actual project — none of it is estimated.
Languages
Frontend
Backend
Data & Databases
Visualization & Tools
Node.js Express.js MongoDB Redis React
- Cut median response latency 81% (2,547ms → 468ms) by introducing Redis caching.
- Covered core flows with 8 Jest/Supertest integration tests.
Repo · Live — Render · Live — Vercel
Python Streamlit SQL DuckDB Plotly
- Warehoused 1,200+ matches and 294K+ deliveries into DuckDB.
- SQL using CTEs and window functions for phase-wise and player-level analysis.
- 7-page interactive dashboard covering season trends, venue par scores, and win-probability models.
Python SQL Power BI Random Forest
- Random Forest with class-weight balancing: 87% accuracy vs. 69% logistic regression baseline.
- 93% precision on on-time order predictions.
- Full ETL pipeline: SQL ingestion → cleaning → feature engineering → model training → Power BI dashboard.
Python Pandas NumPy Streamlit
- Cleaned and analyzed 10,000+ NCRB records across states and years.
- Year-over-year growth-rate forecasting and per-capita normalization for fair state comparison.
- Deployed dashboard with choropleth maps and state-wise filters.
MERN Gemini API Groq
- Multi-provider LLM routing (Groq median response ~784ms) with circuit-breaker fallback for provider failures.
- Fixed a cross-region DB misconfiguration, improving API response time 70%.