Software developer

Data Analyst Intern, ABC Company, San Francisco, CA Summer 2025

Analyzed user engagement data using SQL and Python (Pandas, Matplotlib) to identify trends in app usage, providing insights that supported a 15% increase in user acquisition for high-value user segments

Developed and implemented data cleaning procedures (Python) for a customer satisfaction survey dataset, leading to a 10% reduction in data processing time for future surveys

Collaborated with software engineers to understand data storage structures and API functionalities, ensuring accurate data retrieval for analysis

Datathon Project: Predicting Customer Churn for XYZ Company Spring 2025

Led a team of 4 in the exploration of customer data, uncovering key trends and patterns related to churn

Guided team in selecting machine learning algorithms using Scikit-learn for churn prediction; oversaw model training, evaluation, and hyperparameter tuning to optimize performance

Prepared and delivered a final presentation to datathon judges, highlighting key findings and model performance (78% accuracy on unseen test data)

Project: Fantasy Football Modeling, Course: Data and Decisions Fall 2024

Aggregated and prepped 5 years of NFL fantasy football projection data from 6 independent sources into a MySQL database

Built a random forest model in SAS that improved projection accuracy by combining the disparate sources into one projection that outperformed the mean absolute error of the next best projection by 18%

Project: Production Control, Course: System and Analysis Design Spring 2024

Led a team of five students in designing, coding, and implementing a SQL database

Entered and updated information using the web scraping tool BeautifulSoup

Completed analysis and designed documentation with data flow diagrams, structural charts, process specifications, a data dictionary, and a user manual

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