
RESEARCH
OPEN
IMPACT
I build systems
that make complexity usable.
Data meets impact.
I engineer open-source systems that turn raw data into decisions — NGO-volunteer matching platforms, climate policy dashboards, causal inference engines, real-time sentiment pipelines. Each project starts with a question and ends with a tool anyone can use.
I believe the best tools should belong to everyone. Not locked behind paywalls. Not hidden in proprietary systems. Open-source is how we democratize the best tools — and that's exactly what I build.
My work spans cybersecurity risk analysis, climate policy visualization, causal inference, and social impact platforms. The common thread: taking complex data and making it actionable for the people who need it most.
Tools of the trade.
The instruments behind the systems — no percentages, just proof.
Systems that solve real problems.
Open-source, MIT-licensed. Each project ships as a complete, production-ready tool — not a demo.
NSE Sentiment Analyzer
Live NSE price + multi-source sentiment
Enter any NSE ticker for a BULLISH / NEUTRAL / BEARISH signal: smart ticker search (504 aliases, handles rebrands and splits), 9-source news sentiment with event-aware scoring across 19 event types, a SmartScore 0-100 fusing recency-weighted EWMA, headline breadth and news volume, enhanced VADER plus a 123-term Indian financial lexicon, and RSI(14)/MACD technicals. 139 tests, AGPL v3.
KarmaMap
Hyper-local NGO-volunteer matching platform
Production-grade PWA connecting NGOs with nearby volunteers. PostGIS proximity matching scored by skill and road distance (OSRM), role-based dashboards for volunteers/NGOs/corporates, a karma points + streaks incentive system with leaderboard, offline-ready installable PWA, and Supabase Row-Level Security. React + Vite frontend on Vercel, Express backend on Render.
NSE Portfolio Risk Scanner
Institutional-grade risk analytics for NSE
Upload a holdings CSV (or try the sample) for a full risk report: Historical, Parametric and Cornish-Fisher VaR at 95/99, CVaR, Sharpe and Sortino, beta vs Nifty, 10,000-path Monte Carlo, HMM regime detection, Hierarchical Risk Parity optimization and scenario stress tests. 355 tests, 90 percent coverage, zero API keys. Deployed on Streamlit Cloud.
FII/DII Dashboard
Institutional flow tracking from NSE India
Auto-fetches daily FII/DII flows from NSE India into SQLite; 4 interactive charts (net flow trend, FII vs DII, rolling averages, Nifty overlay), date-range filtering and CSV export. Premium UI with Lucide icons, zero cron, no API keys. 49 tests, AGPL v3.
DeltaGrid
Paris Agreement NDC progress tracker
Computes the gap between Paris Agreement NDC pledges and actual energy-transition trajectories for 200+ countries. A 0-100 Green Score from 6 energy shares, real-time slider re-ranking, Plotly choropleth maps, CSV/XLSX upload with auto-preprocessing, and country classification (hidden champions to laggards). 123 tests, MIT.
CausalLens
Causal inference for time series
Did that policy work? Five causal methods — ARIMA ITS, SARIMAX, Bayesian STS (Google CausalImpact), Difference-in-Differences, and Synthetic Control — with counterfactual charts, p-values, 95 percent CIs, placebo sensitivity checks, and PDF/HTML export. 207 tests, 11 pre-loaded datasets, MIT.
Let's build something together.
Open to collaborations, research partnerships, and conversations at the intersection of data, security, and social impact.
All my work is open-source and MIT-licensed. I'm most active on GitHub and LinkedIn.
Interesting project, research collab, or just want to geek out about causal inference? I'm here for it.
Connect on LinkedIn