Atharv
MA
Expertise
Data Science
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.
Data Science
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
Data Science, Data Analytics, Machine Learning, Sports Analytics, Natural Language Processing, Data Visualization, Computer Science, Biotechnology
Business Analyst, Data Analyst, Business Intelligence, Process flow
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, Economics, Sports Data & Analytics, Psychology
Data science, Sports analytics, Bayesian statistics, Machine learning
Data analytics and exploration across the landscape of sports. Interests include NFL, NBA, MLB, PGA, and UFC! Secondary interests include strategic sport sponsorship and corporate partnerships, sports business, ticketing, sports marketing, music, and pop culture.
marketing, consumer behavior, entrepreneurship, journalism, market research, journalism, culture, music, urban studies, civic engagement, community
business strategy, analytics, economics
computer vision, AI for sports, data science, GPU programming
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.
Business, IT Audit, Consulting, accounting
Sports Media, Marketing, Media, Advertising, Sponsorships, Leadership
Sport Analytics and Data Science
Sports Analytics
Machine Learning in Computer Science, Computer Science,
Sport Analytics, Data Science, Programming, Econometrics
Physics, Optics, Quantum Mechanics, Math, Sports Analytics, Scientific Writing, Science Communication
Economics, Sports, Business, Math, Stats, Data Science