Currently an Extern @Breaking Games
I build analytics pipelines and dashboards with Python, SQL and Power BI to turn operational and financial data into decision-ready insights.
Projects include a full Financial Performance pipeline, reporting practice work in Excel/Tableau/Power BI, and a SQL/database externship with Breaking Games focused on turning messy CSVs into an
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.
Designed an end-to-end analytics pipeline using SQL Server and Power BI to track KPIs and analyze profitability trends. Used Python to clean and transform a 50,000+ row dataset, resolving inconsistencies and structuring it for reliable reporting. Built interactive dashboards surfacing financial trends and performance insights, supporting faster, data-driven decisions.
I build analytics pipelines and dashboards with Python, SQL and Power BI to turn operational and financial data into decision-ready insights.
Data Science student with hands-on experience turning operational and financial data into decision-ready insights using Python, SQL, and Power BI. Built and deployed a full analytics pipeline processing 50,000+ records, from data cleaning through dashboard delivery. Seeking a data scientist or data analyst role applying statistical analysis, data modeling, and visualization to solve business problems.
Externships
SQL & Database Architecture Externship with Breaking Games
Breaking Games
Experience
Data & Business Analytics Intern
Deloitte · Jan 2026 – July 2026
Administrative Assistant
Encore Global · Jun 2024 – Jan 2025
Education
University of Maryland
B.A. in Data Science
Prince George's Community College
A.A. in Computer Science
Year Up United
Project Management
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 ingested six messy CSV data sources and transformed them into a structured analytics database. Work included mapping source schemas, designing a normalized schema, and building queries and a Q4 dashboard. Deliverables comprised the cleaned database schema, ETL logic, and dashboard queries.
I turned six unclean CSV files into a structured analytics dataset, documented the data model, and produced SQL queries and a Q4 dashboard tied to the delivered schema.
Designed an end-to-end analytics pipeline using SQL Server and Power BI to track KPIs and analyze profitability trends. Used Python to clean and transform a 50,000+ row dataset, resolving inconsistencies and structuring it for reliable reporting. Built interactive dashboards surfacing financial trends and performance insights, supporting faster, data-driven decisions.
Built interactive reports and visualizations in Excel, Tableau, and Power BI to identify patterns and present actionable insights across multiple datasets.
