Breaking Games Externship via ExternMaster's student at Northeastern preparing for a career; focused on learning, projects, and practical skills.
Projects completed during my master's program and personal work that show my developing skills and approach to real problems.
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.
Master's student at Northeastern preparing for a career; focused on learning, projects, and practical skills.
I am Jake Wall, a Northeastern University graduate student pursuing a master’s degree. I have little formal work experience and I am preparing to launch my career while building portfolio projects and skills during my program.
Externships
SQL & Database Architecture Externship with Breaking Games
In progress
Experience
Growth & Strategy
AskSia (EdTech) · June 2025 - March 2026
Intern
Wolverine Tax and Financial · January 2026 - May 2026
Student-Athlete, NCAA Division I Track & Field
University of Michigan & Northeastern University · August 2022 - Current
Education
Northeastern University, Boston
Master of Business Administration, Artificial Intelligence · Class of 2027
University of Michigan, Ann Arbor
Bachelor of Arts in Sport Management · Class of 2026
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 files into a structured analytics database and produced a Q4 dashboard. The work cataloged the available e-commerce data sources, designed schema transformations for analytics, and prepared the cleaned datasets for dashboarding and analysis.
I catalogued six raw e-commerce data sources, ran five starter SQL queries with results, and documented a data-quality check and reflections that guided the database build.
I catalogued the six raw data sources, noted what each could and could not answer, ran five starter SQL queries (with results copied into the doc), and recorded a data-quality check and reflections for Week 1.