Currently an Extern @Breaking Games
I'm a Computer Science student with hands-on experience in web and database applications, eager to launch my software development career.
Explore my portfolio featuring collaborative projects in e-commerce and sales management, where I applied my skills in software development and database architecture.
Kennesaw State University · May 2026
Developed 3 core e-commerce workflows (product browsing, cart management, and checkout) for a 5-person team project by translating requirements into coordinated application features. Improved collaboration and deployment readiness across a 5-person team by managing code changes in Git/GitHub and org
Kennesaw State University · May 2024
Delivered a database-driven sales management system for 1 client within a 2-month timeline by leading a 4-person team through requirements, implementation, and testing. Improved the consistency of client sales-data storage and retrieval by applying SQL/MySQL, relational modeling, and normalization t
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 a Computer Science student with hands-on experience in web and database applications, eager to launch my software development career.
I am currently studying Computer Science at Kennesaw State University, where I’m gaining hands-on experience in building web and database applications as part of a team. I’ve developed my skills in Java, Python, SQL, C#, Git/GitHub, Linux, and AWS fundamentals, emphasizing object-oriented development, debugging, and requirements analysis. I’m excited to secure an entry-level software development role where I can utilize my programming and problem-solving skills while continuing to grow as a software developer Engineer.
Externships
SQL & Database Architecture Externship with Breaking Games
Breaking Games
Experience
Retail Sales Consultant
AT&T · Dec 2022 - Feb 2023
Education
Kennesaw State University
Bachelor of Science: Computer Science
Skills
Kennesaw State University · May 2026
Developed 3 core e-commerce workflows (product browsing, cart management, and checkout) for a 5-person team project by translating requirements into coordinated application features. Improved collaboration and deployment readiness across a 5-person team by managing code changes in Git/GitHub and org
Developed 3 core e-commerce workflows (product browsing, cart management, and checkout) for a 5-person team project by translating requirements into coordinated application features. Improved collaboration and deployment readiness across a 5-person team by managing code changes in Git/GitHub and org
Kennesaw State University · May 2024
Delivered a database-driven sales management system for 1 client within a 2-month timeline by leading a 4-person team through requirements, implementation, and testing. Improved the consistency of client sales-data storage and retrieval by applying SQL/MySQL, relational modeling, and normalization t
Delivered a database-driven sales management system for 1 client within a 2-month timeline by leading a 4-person team through requirements, implementation, and testing. Improved the consistency of client sales-data storage and retrieval by applying SQL/MySQL, relational modeling, and normalization t
✅ Verified by Extern · ⏱️ In progress
Turn six messy CSVs into an analytics database and a Q4 dashboard that drives real business decisions. SQL + Claude.
In my externship with Breaking Games, I transformed six disorganized CSV files into a structured analytics database and developed a Q4 dashboard that informed key business decisions. Through this project, I leveraged SQL and the Claude tool to enhance data accessibility and insights for the e-commerce team.
I produced a validated SQLite analytics database with standardized product identifiers, a dim_product dimension table, joined queries that trace customer journeys, and SQL reviewed and debugged with Claude.
On Day 1 I inventoried six raw data sources, then ran SQL queries in SQLite to produce five instant answers (top products by units and revenue, product count, total ad spend, unique checkouts). Results and queries were recorded in a Week 1 playbook document.
A fragmented set of four spreadsheets was unified by creating dim_product, assigning clean product IDs, and writing INNER and LEFT JOIN queries to trace customer journeys and produce a product performance summary.
Situation: Meta spend and 421 messy referrers needed reconciliation. Task: connect $37,200.94 in Meta spend to revenue and recommend Q4 allocations. Action: inventoried data sources, cleaned channel taxonomy, ran SQL checks and campaign-level ROI math. Result: a documented Holiday Game Plan with…
The project examined checkout exports, tested hypotheses (shipping ratio, quantity outliers, repeat non-converters), identified bot patterns with SQL, and produced a filtered view plus recalculated abandonment rates.
