The Ohio State University, Columbus, OH - Class of 2021
B.S. in Statistics, minor in Business Analytics
Experience
84.51°
June 2021 - Current
SIM - Supplier Impact Maximization, April 2023 - Current
Work on a cross-functional team to develop a novel, first-in-class data asset to track supplier investment across over 60 data sources and over 20 advertising channels
Developed multi-objective optimization model to determine optimal advertisement allocation strategies for suppliers in Pyomo, resulting in a projected +17% increase to incremental sales without changing total investment
Utilized DABS to build and deploy data pipelines
Developed semantic kernel prototypes using OpenAI-4o for quick insights capabilities
Data Science Intern Program Manager, March 2024 - August 2024
Managed, collaborated with, and evaluated 11 data science interns during the summer of 2024
Planned trainings, coordinated with HR, and met individually with each intern throughout the ten week program
Shared feedback to HR and talent managers regarding potential improvements to the program
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
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
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
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
Technical Skills and Certifications
Experience in Python, R, PowerBI, Optimzation, Causal Inference, AI, DABS, and more
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)
Other
Avid self-taught skiier (@janderson_adventures), casual climber, and dive bar enthusiast