Sport consulting firm that brings full scale data solutions to semi-professional, or amateur teams.

• Successfully implemented innovative modeling techniques that significantly enhanced the accuracy of podium probabilities across all sports leading up to the Paris 2024 Olympics by 16%, on average. By introducing new methodologies, I achieved a substantial reduction in mean squared error for each sport compared to previous iterations of the project, resulting in more reliable predictions and improved performance analysis.• Collaborated with National Sport Organizations (NSO) to develop innovative sports metrics that provided valuable insights into player performance, team strategy, and training.• Developed and automated Python-based data scrapers in Azure and Google Cloud Program to efficiently collect and integrate data from diverse web sources, ensuring comprehensive and accurate datasets for analysis. The data was warehoused in SQL servers for later use.• Leveraged published research paper methodology to develop and successfully implement methodologies that significantly enhanced the accuracy of podium probability predictions.•Pioneered the development of tailor-made analytic solutions for a diverse range of Olympic sports. These comprehensive analyses included making accurate predictions by conducting simulation studies, machine learning techniques, deep learning techniques, timeseries analysis, and regression analysis, as well as developing in-game strategies and examining long-term athlete projections.• Created impactful data visualizations using Tableau that effectively conveyed complex insights to coaches and executives at Own the Podium, facilitating data-driven decision making.• Effectively communicated research findings to coaches, performance advisors, and executives through engaging presentations, ensuring clear understanding and actionable insights.

•Courses Facilitated: Economics of Professional Sports, Analysis of Economics Data, Introduction to Game Theory•Leading tutorials and facilitating office hours to answer students’ questions about course material•Teaching the applications of course content such as coding, regression analysis and data maintenance•Marking assignments and tests

•Greeting customers and initiating sales•Merchandising and organizing the store•Selecting and purchasing new collections for the spring and fall seasons •Consulting on advertising platform and design