Currently an Extern @Breaking Games·🟢 Open to work
Turning commercial data into actionable insights that drive revenue growth, optimize pricing and improve profitability.
Explore projects where i use data, analytics , and commercial strategy to solve real business 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.
Turning commercial data into actionable insights that drive revenue growth, optimize pricing and improve profitability.
Revenue Operations & Commercial Strategy professional focused on using data, pricing, and analytics to drive profitable growth.
Externships
SQL & Database Architecture Externship with Breaking Games
Breaking Games
Experience
Revenue Management Business Partner
Sysco Canada · Jan 2025
Revenue Growth Management Lead
Baby Gourmet · Feb 2024 - Dec 2024
Revenue Growth Management Lead
The Coca-Cola Company · May 2021 - Dec 2023
Channel and Category Manager
Unilever · Apr 2018 - Apr 2021
Territory Manager
Unilever · Feb 2018 - Mar 2018
Education
University of Benin
B.Eng in Electrical and Electronics Engineering · Class of 2012
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 raw CSV sources into a working analytics view inside the provided breaking_games SQLite database. Work included writing and executing SQL queries with AI-assisted prompts, documenting query examples and session content, and reconciling a customer-journey split across four tables by creating a dim_product table and linking tables with foreign keys.
I built a dim_product table with standardized product IDs, joined sales and customer tables via foreign keys, and documented SQL examples and session notes that produced revenue figures and showed how tables joined.
I opened the provided breaking_games database, wrote and executed SQL queries with AI-assisted prompts, and recorded query examples and results showing revenue and table joins. The submission included a shared document with the session content.
A messy customer-journey spread across four tables was reconciled by creating dim_product with clean product IDs, linking tables via foreign keys, and producing joined queries that aligned sales rows to a single product list.