
Moneyball Academy - Wharton Global Youth Program · Jul 2023
The Offensive Renaissance: Reaping the Rewards of the MLB Shift Ban
Analyzing the effects across Major League Baseball of the 2023 shift ban using MLB statcast data.
Currently an Extern @Breaking Games·🟢 Open to work
I study data science, learn statistical and programming tools, and prepare projects that demonstrate practical analysis skills.
Projects and classwork where I applied data analysis, statistical methods, and programming to solve problems and practice industry workflows.

Moneyball Academy - Wharton Global Youth Program · Jul 2023
Analyzing the effects across Major League Baseball of the 2023 shift ban using MLB statcast data.

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 study data science, learn statistical and programming tools, and prepare projects that demonstrate practical analysis skills.
I am Evan Froehlich, a third-year Data Science student at Washington University in Saint Louis pursuing a bachelor's degree. I am building foundational skills in data analysis, statistics, and programming as I prepare to start my career in data science/analytics.
Externships
SQL & Database Architecture Externship with Breaking Games
Breaking Games
Experience
Fixed Income Intern
D.A. Davidson & Co. · May 2026 - Aug 2026
Fixed Income Intern
D.A. Davidson & Co. · June 2025 – August 2025
Volunteer Work
People in Need, Inc. · September 2020 – June 2024
Education
Washington University in St. Louis
Bachelor of Arts in Data Science · Class of 2028
Skills
Moneyball Academy - Wharton Global Youth Program · Jul 2023
Analyzing the effects across Major League Baseball of the 2023 shift ban using MLB statcast data.
Analyzing the effects across Major League Baseball of the 2023 shift ban using MLB statcast data.

Came up with a sports analytics problem, used sports analytics and R to investigate it, and drew conclusions based on data.
✅ 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 consolidated six messy CSV data sources into an analytics-ready database schema and a Q4 dashboard. The work inventoried the available sales and product data, designed transformation steps for each source, and assembled a unified schema to support dashboarding and analysis.

I mapped the raw data sources, identified transformation needs, and started a normalized schema that would feed the Q4 analytics dashboard.