• Identified user archetypes for the Uber Eats subscription, EatsPass, to gain insight into consumer behavior.
• Utilized unsupervised learning ML techniques (K-means, Random Forest, PCA, data visualization) for feature predictions and clustering.
• Optimized for conversion and retention through promotion ideation and growth-based recommendations.
• Designed an automated dashboard using SQL and Power BI to enable product quality and statistical data analysis.
• Transitioned over 5 billion rows of data to daily-refreshed, point-in-time visualization and aggregation reports.
• Created pilot dashboard tool to be scalable company-wide, with demonstrated interest in 4 other business units.
• Connect with VP and C-Suite leaders; secured clients Apple, Uber, The Gates Foundation, Home Depot in Fall 2021.
• Design project methodologies, define scope, and create proposal decks by collaborating with company leaders.
• Designed an inventive, binary search-based pricing survey to gauge consumer demand for 30+ new car features.
• Analyzed over 2,000 customer responses to determine optimal price points and develop R Shiny pricing model.
• Promote diversity and inclusion on campus and take action to address challenges for Women in STEM.
• Organized town halls/workshops to encourage important conversations between faculty and students.
• Created an API using Python to extract 2 years worth of internal company data from 6 sources (e.g., Jira, GitHub).
• Utilized regression analysis to identify KPIs and metric correlations to increase productivity and profitability.