Breaking Games Externship via Extern
I'm completing my final year at Indiana University Bloomington and preparing to transition from study to professional work.
A portfolio of academic work and early projects from my time at Indiana University Bloomington, showcasing what Im ready to build on in my first job.
Breaking Games · ✅ Verified by Extern · ⏱️ In progress
Turn six messy CSVs into an analytics database and a Q4 dashboard that drives real business decisions. SQL + Claude.
I'm completing my final year at Indiana University Bloomington and preparing to transition from study to professional work.
I am Kevin Sathish, a senior at Indiana University Bloomington working toward a bachelors degree. I am finishing my undergraduate studies and preparing to start my professional career.
Externships
SQL & Database Architecture Externship with Breaking Games
In progress
Experience
Team Lead
ServeIT Clinic, Bloomington, IN · Dec 2025 - Present
Resident Assistant
Residential Programs and Services — Resident Assistant, Bloomington, IN · May 2025 - Present
AI Services Intern
Hitachi Energy — AI Services Intern, Bangalore, India · June 2026 - August 2026
Intern
ServeIT Clinic, Bloomington, IN · Jan 2025 - Dec 2025
Data Analyst Intern
ASK Investment Managers — Data Analyst Intern, Bangalore, India · June 2024 - Aug 2024
Education
Indiana University Bloomington, IN
B.S. in Informatics (Business Cognate), Minor in Business · Class of 2027
Indiana University Bloomington, IN
M.S in Information Systems · Class of 2028
Skills
✅ Verified by Extern · ⏱️ In progress
Turn six messy CSVs into an analytics database and a Q4 dashboard that drives real business decisions. SQL + Claude.
The externship converted six messy CSV data sources from an e-commerce workflow into a structured analytics database and a Q4 dashboard. The work mapped each source, defined schema transformations, and implemented SQL pipelines. Deliverables included the cleaned database schema and a populated analytics dataset ready for dashboarding.
I produced a Week 1 data inventory and five validated SQL answer queries (top products, revenue, catalog count, ad spend, checkouts) against a populated SQLite database.
I inspected six data sources, loaded a provided SQLite database, and ran SQL queries with an AI co-pilot. I produced a Week 1 document listing a data inventory and five answer queries with their results (top products, revenue, catalog count, ad spend, checkouts).