
Richard
MBA candidate
Expertise
Business, Economics, Sports Data & Analytics, Psychology
Polygence mentors are selected based on their exceptional academic background, teaching experience, and unique ability to inspire the next generation of innovative thinkers and industry leaders.
Business, Economics, Sports Data & Analytics, Psychology
Data science, Sports analytics, Bayesian statistics, Machine learning
Data Science
Currently an adjunct professor at La Salle University teaching Sports Finance to undergraduates & Managerial Accounting to MBA students, been in the sports industry now for 5 years revolving around accounting, finance, sports business analytics etc.
marketing, consumer behavior, entrepreneurship, journalism, market research, journalism, culture, music, urban studies, civic engagement, community
Sport Analytics and Data Science
Business, IT Audit, Consulting, accounting
computer vision, AI for sports, data science, GPU programming
Sports Media, Marketing, Media, Advertising, Sponsorships, Leadership
business strategy, analytics, economics
Neurodegenerative Diseases (Glaucoma, Alzheimers, Parkinsons, etc), Neuroimaging Technologies (MRI, CT, etc.), Neurotrauma (Concussions, Blast impact), Sports Medicine (new treatments, diagnostic tests), Medical Device ideation and design for underserved communities, Anything related to statistical analysis and/or data science (any industry/subject area)
Business Analyst, Data Analyst, Business Intelligence, Process flow
Statistical Analysis, including regression analysis, machine learning, and use of R and Python. Statistical analysis in topics such as politics, physics, chemistry, astronomy, public health, and medicine. Biostatistical Analysis, including longitudinal studies and survival analysis
I have a strong passion for data analytics and exploration across the sports landscape, with a focus on the NFL, NBA, MLB, PGA, and UFC. I enjoy uncovering insights, identifying trends, and analyzing the numbers that drive the game. Beyond analytics, I’m also deeply interested in the business side of sports, including strategic sponsorships, ticketing, and marketing. Additionally, I have a keen appreciation for the intersection of sports, music, and pop culture, recognizing the powerful connections between these industries.
Data Science, Data Analytics, Machine Learning, Sports Analytics, Natural Language Processing, Data Visualization, Computer Science, Biotechnology
Sport Analytics, Data Science, Programming, Econometrics
Economics, Sports, Business, Math, Stats, Data Science
Machine Learning in Computer Science, Computer Science,
Sports Analytics
Business, technology, economics, sports analytics, Chinese language/culture/politics