Currently an Extern @Breaking Games
I’m a recent graduate focused on consumer behavior and market analysis, ready to take on new challenges.
Dive into my projects showcasing market analysis and consumer insights, reflecting my commitment to excellence.
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.
Conducted exploratory data analysis and predictive modeling on operational datasets to identify factors influencing pricing and performance outcomes. Applied preprocessing, feature selection, and cross-validation techniques to improve model accuracy and interpretability. Developed scenario-based analyses to evaluate the potential impact of operational changes and support evidence-based decision-making. Created data visualizations and written summaries to communicate findings clearly to non-technical audiences. Utilized Python libraries including pandas, scikit-learn, matplotlib, and seaborn for data cleaning, analysis, and reporting
Developed a web application to analyze user input and display real-time counts of sentences, words, and characters
Designed and implemented a ternary tree data structure to efficiently store and manage integer datasets. Developed algorithms to insert elements, traverse the tree, and compute key properties such as the number of leaf and non-leaf nodes, nodes with degree two, and the overall tree depth
I’m a recent graduate focused on consumer behavior and market analysis, ready to take on new challenges.
I am a recent graduate eager to kickstart my career in market analysis. My experience with Beats By Dre has equipped me with insights into consumer behavior, and I am committed to enhancing my skills and building a strong resume for future opportunities.
Externships
SQL & Database Architecture Externship with Breaking Games
Breaking Games
Experience
Academic Tutor
UIC African American Academic Network · Sep 2021 May 2023
Office Aide
UIC Campus Housing · Jul 2022 Aug 2022
Vice President of Programming
University of Illinois Residence Hall Association · May 2022 May 2023
Education
University of Illinois Chicago (UIC)
Bachelor of Science in Mathematics and Computer Science · Class of 2025
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 consolidated six raw CSV files into a structured analytics database and produced SQL models that populated a Q4 analytics dataset. Work included cataloging sources, installing and validating a local database, defining a target schema, prioritizing ETL steps, and developing queries and models. Deliverables included an integrated schema and a populated analytics dataset.
I produced an integrated analytics dataset by cataloging six data sources, building a local SQLite database, defining the target schema, and writing SQL models that populated the Q4 analytics tables.
On Day 1 I inventoried six data sources, ran SQL queries (with Claude) to answer five executive questions, and recorded results like top products, catalog size (99), total Meta spend ($37,200.94), and 1,062 checkout sessions.
Conducted exploratory data analysis and predictive modeling on operational datasets to identify factors influencing pricing and performance outcomes. Applied preprocessing, feature selection, and cross-validation techniques to improve model accuracy and interpretability. Developed scenario-based analyses to evaluate the potential impact of operational changes and support evidence-based decision-making. Created data visualizations and written summaries to communicate findings clearly to non-technical audiences. Utilized Python libraries including pandas, scikit-learn, matplotlib, and seaborn for data cleaning, analysis, and reporting
Developed a web application to analyze user input and display real-time counts of sentences, words, and characters
Designed and implemented a ternary tree data structure to efficiently store and manage integer datasets. Developed algorithms to insert elements, traverse the tree, and compute key properties such as the number of leaf and non-leaf nodes, nodes with degree two, and the overall tree depth
