
Breaking Games · Aug 2026 · ✅ Verified by Extern
SQL & Database Architecture Externship with Breaking Games
Turn six messy CSVs into an analytics database and a Q4 dashboard that drives real business decisions. SQL + Claude.
Currently an Extern @Breaking GamesI’m passionate about using AI, data science, Python, R, SQL, and analytics to turn complex business data into actionable insights that improve marketing, product performance, and revenue growth.
My portfolio showcases projects from my externship at HP Tech Ventures, where I analyze and evaluate emerging tech startups.

Breaking Games · Aug 2026 · ✅ Verified by Extern
Turn six messy CSVs into an analytics database and a Q4 dashboard that drives real business decisions. SQL + Claude.
I’m passionate about using AI, data science, Python, R, SQL, and analytics to turn complex business data into actionable insights that improve marketing, product performance, and revenue growth.
Business analytics professional using AI, data science, Python, R, SQL, Power BI, and Databricks to transform complex data into actionable insights. Through my Breaking Games externship, I analyzed e-commerce, marketing, and product performance to support smarter decisions and business growth.
Externships
SQL & Database Architecture Externship with Breaking Games
Breaking Games
Experience
Pricebook Associate
7-Eleven · Dec 2023 - May 2026
Education
East Texas A&M University
M.S in Business Analytics · Class of 2025
Skills
✅ Verified by Extern
Turn six messy CSVs into an analytics database and a Q4 dashboard that drives real business decisions. SQL + Claude.
The work converted six raw CSVs into a populated SQLite analytics database, cataloging sources and capturing five immediate answers in a Holiday Game Plan. The contributor reconciled four disjoint tables into a dim_product table with stable IDs, joined sessions, carts, and sales, and attributed revenue to Meta campaigns. The output included a Q4 ad allocation plan and a clean_checkouts view that

I built a populated SQLite database from six CSV sources, authored SQL that returned five direct answers (top products by units and revenue, catalog size, ad spend, checkout sessions), created a dim_product table with stable IDs and join logic, delivered a campaign-level Q4 ad allocation plan, and produced a clean_checkouts view that excluded bot traffic.