Currently an Extern @Breaking Games
I work with SQL and database architecture to prepare data for analysis, reporting, and insight.
Portfolio items show database design, SQL querying, and data preparation work from my externship and coursework.
Designed customer engagement and conversion analyses using SQL, Python, segmentation, and visualization; identified 25 630% conversion inefficiencies and translated findings into actionable recommendations
Built a quantitative risk model across a $7.7B biotech market using Monte Carlo simulation (10,000+ scenarios), multi-factor sensitivity analysis, and NPV modeling to support strategic investment decisions
I work with SQL and database architecture to prepare data for analysis, reporting, and insight.
I am Priyaswarupa Pati, a University of Michigan student focused on data analytics. I completed a SQL and database architecture externship with Breaking Games and concentrate on organizing data for analysis and reporting.
Externships
SQL & Database Architecture Externship with Breaking Games
Breaking Games
Experience
Role - Technical Professional Aide | Product & Decision Analytics
Michigan State University on Contract · Sep 2025 – Present
Role - Business Data Analyst | Finance & Generative AI
Alphabet Inc. (via TransPerfect) on Contract · Jan 2026 – Apr 2026
Role - Graduate Research Assistant | Data Analyst
iLabs, University of Michigan-Dearborn · Sep 2024 – Feb 2025
Role - Data Analyst
R.B. Construction Ltd · Oct 2020 – Sep 2022
Role - Data Analytics & Quantitative Research
Parul University · Jan 2016 – Sep 2020
Role - Database Analyst
NIT Srinagar / SUIIT Odisha / CUJ · Sep 2013 – Dec 2015
Education
University of Michigan-Dearborn
M.S., Business Analytics
SRM University, Chennai
M.Tech, Computer Science & Engineering
Biju Patnaik University of Technology, Odisha
B.Tech, Computer Science & Engineering
Skills
Designed customer engagement and conversion analyses using SQL, Python, segmentation, and visualization; identified 25 630% conversion inefficiencies and translated findings into actionable recommendations
Built a quantitative risk model across a $7.7B biotech market using Monte Carlo simulation (10,000+ scenarios), multi-factor sensitivity analysis, and NPV modeling to support strategic investment decisions
Developed ARIMA forecasting and collaborative-filtering analyses across 20M+ records to identify demand patterns and generate scalable, data-driven recommendations.