Resume
Education
Experience
Enhanced Stellantis’ incentive lift model by engineering competitor-related features, improving predictive accuracy by 1–10% across vehicle-month combinations, with potential annual savings of up to $10M in incentive spending.
Integrated Python, Databricks, and Snowflake workflows to analyze Stellantis and competitor sales, pricing, and incentive data, enabling data-driven adjustments to strategic pricing decisions.
Presented model enhancements and market insights to senior leadership, influencing company-wide discussions on optimizing incentive allocation and competitive positioning.
Designed Tableau dashboards to benchmark Michigan Online course performance and track learner outcomes.
Created Sankey diagrams to visualize student flow across course sequences and evaluate learning pathways.
Cleaned and transformed large educational datasets in Python to support storytelling and analytical accuracy.
Conducted primary research and analysis of consumer sentiment around the Beats by Dre brand and how Gen Z audiences perceive the marketing campaigns and branding.
Delivered strategic recommendations to improve brand communication and market positioning.
Developed predictive models to identify high-value, recurring, and planned donors using logistic regression.
Conducted exploratory data analysis and k-means clustering to identify potential donors among 2.6 million residents in the served counties.
Skills
Programming Languages
Libraries and Frameworks
Tools and Platforms
Concepts and Algorithms
Certifications
Clubs & Organizations
Zell Lurie Student Startup Grants Program
Aug 2023 – Dec 2023
Accepted into Fall 2023 program and attended business creation workshops and office hours.
Advanced to second round of campus-wide Michigan Business Challenge competition.