Managed an Oracle database with over 10 million records, optimizing data categorization and improving research team accessibility, leading to faster decision-making.
Utilized Python and SQL to analyze over 500,000 data points per month, generating data-driven insights that identified 15% more potential investment opportunities.
Collaborated on developing and testing the company's proprietary AI model, contributing to improved prediction accuracy and streamlining investment analysis workflows.
Corporate Strategy & Data Analytics Intern
RPG Starship Logistics Tech
Long Beach, United States
05.2023 - 08.2023
Leveraged advanced Excel functions, including pivot tables and VLOOKUP, to clean, organize, and visualize large datasets, streamlining reporting processes.
Utilized SQL to analyze over 1 million rows of logistical data, including delivery routes, time efficiency, and cost structures, leading to a 13% reduction in operational costs.
Developed interactive Tableau dashboards and a comprehensive 10-page report to visualize key metrics, such as average delivery times, regional cost breakdowns, and driver efficiency, enabling department leads to optimize routes and allocate resources, resulting in a 12% increase in resource allocation efficiency.
Education
Bachelor of Arts - Data Science, Minor in Business Studies
New York University
New York City
05.2027
Skills
Data Analysis & Visualization: Tableau, Microsoft Excel (PivotTables, VLOOKUP, dynamic charts), Power Query, PowerPoint