The Ohio State University, Columbus, OH - Class of 2021
B.S. in Statistics, minor in Business Analytics
Experience
84.51°
June 2021 - Current
IIP - Integrated Investment Planning, April 2023 - Current
Worked in a cross-functional team to develop a new product to better allocate marketing funds across numerous channels, projecting $400MM in incremental sales
Developed multi-objective optimization model to determine optimal advertisement allocation strategies for brands in Pyomo
Connected over 80 data sources together to create a holistic, first-in-class view of investment across the business
Named Intern Program Manager for the Summer 2024 class
CIL - Commercial Partners, Nov 2021 - April 2023
Executed and delivered 15 projects to a multitude of external and internal clients for a total revenue over $550,000 in FY22
Co-developed a novel, causal inference-based solution that resulted in an incremental $163,000 in FY22
Introduced planogram data to an existing solution and led a science review on the improvements
Investigated the impact of survey scores and demonstrated the incremental benefit of the scores in predicting units per store per week
Co-awarded the "Overcomer Award" in Q1 of FY22 for my business unit
Eleven Warriors
Student Contributor, August 2018 – June 2020
Contributed to over 150 original sports and Ohio State-related content for a website that receives over 16M page views monthly
Web scraped season statistics from multiple sources (SportsReference, Ohio State Athletics) in multiple mediums (HTML, PDF) to create official data sheets for all of Ohio State’s players, dating back to at least 1972
Use regression techniques to find correlations and trends in game-by-game and season-by-season statistics in R
Simulated the 2020 Big Ten Tournament after COVID-19 prematurely ended the competition
Contextualized difficult-to-understand statistics such as football's Expected Points Added to a wide audience
Web-scraped season statistics and created a Shiny App to quickly display top performers
Certifications
Completed DataCamp's "Data Scientist in R" career track and 21 total courses
Scored in the 83rd percentile or higher in four DataCamp assessments, including in the 93rd percentile in DataCamp's Machine Learning Fundamentals in R Assessment
Passed LinkedIn Assessments for Machine Learning (95th Percentile) and Programming in R (85th Percentile)