Jeel Patel
Designing the data blueprints that drive industry disruption
I learn an industry by building a full analytics project inside it, from raw public records to a working dashboard. So far that's five industries: $65.2 billion in NYC budget overruns, 53,514 dental providers mapped across four states, and a grid model that forecasts day-ahead load within 1.72%.
About
From engineering to analytics
I'm Jeel Patel, but everyone calls me JP. Computer science gave me the engineering habits; the MS in Business Analytics & AI at Stevens is where I'm pointing them at business questions.
Current
MS in Business Analytics & AI
Stevens Institute of Technology
Graduate Assistant in the School of Business and VP of the Business Intelligence & Analytics Club, alongside the Graduate Certificate in Business Intelligence & Analytics.
- Graduate Assistant, School of Business
- Vice President, Business Intelligence & Analytics (BIA) Club
Summer 2026
Web Development & SEO/GEO Lead, KnowledgeCompass
Stevens Institute of Technology (MGT 815 research)
Led web development and search strategy for knowledgecompass.ai, including product pages for KnowledgeExplorer and Industry Explorer.
- Built the parent site and product pages
- Owned SEO and GEO (generative engine optimization) strategy
Fall 2026
Industry Capstone with Workbrand Global
Stevens Institute of Technology
Analytics consulting engagement with Workbrand Global on employer-brand data.
Undergraduate
B.E. in Computer Science & Engineering
Indus University, India
Technical foundation in software engineering, databases, and systems that now underpins every analytics pipeline I build.
Toolkit
Skills with receipts
Every tool listed here has shipped work behind it. No proficiency bars, just what I actually built with each one.
Python
Built five-phase ETL pipelines over NYC Open Data, federal healthcare registries, and grid telemetry, from raw pulls to analysis-ready tables.
SQL & MySQL
Designed databases behind every project, including a 53,514-provider healthcare warehouse and a cost-overrun schema with 7 flat analysis views.
Tableau
Ship dashboards as the final layer of each pipeline: market gap maps, agency overrun rankings, and S&P 500 health clusters on Tableau Public.
scikit-learn
K-means clustering on S&P 500 fundamentals and an in-progress price-spike classifier for the PJM grid with SHAP explainability.
Streamlit
Front end for the PJM energy analytics app, turning gridstatus, EIA, and weather feeds into an interactive exploration tool.
Power BI
Business-facing reporting alongside Tableau, matched to how stakeholders actually consume metrics.
Excel
Financial comparison models layered on top of SQL outputs, including the CVS vs. Abbott business health deep dive.
Claude Code
Primary development workflow for knowledgecompass.ai, from component builds to SEO/GEO implementation.
Portfolio
Projects
Five industries, five full pipelines. Each card opens a detailed writeup with the data sources, the findings, and the caveats.
$65.2BNYC Construction Cost Overrun Analyzer
An end-to-end pipeline over NYC open data that quantifies how far the city's capital projects run past their budgets, broken down by agency, borough, size bucket, and project type.
53,514Northeast US Dental Market Intelligence
A market-gap platform that fuses four public datasets to score every zip code in four states on dental care supply versus demand, surfacing underserved markets a practice could enter.
500S&P 500 Business Health & Performance Analyzer
A fundamentals pipeline that pulls financials for the full S&P 500, clusters companies with K-means, and compares peers that the market prices very differently.
SHAPPJM Energy Grid Analytics
A Streamlit app over the PJM grid, the largest wholesale electricity market in the US, with a SHAP-explained classifier that flags conditions likely to produce price spikes.
SEO/GEOKnowledgeCompass
Summer research project (MGT 815, Stevens) where I led web development and SEO/GEO for knowledgecompass.ai, building the parent site and product pages for KnowledgeExplorer and Industry Explorer.
Contact
Open to data & business analyst roles
I'm currently looking for analyst opportunities where I can do this kind of work on real business problems. The fastest way to reach me is email.