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
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)
Sports Media, Marketing, Media, Advertising, Sponsorships, Leadership
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
Machine Learning in Computer Science, Computer Science,
business strategy, analytics, economics
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.
Physics, Optics, Quantum Mechanics, Math, Sports Analytics, Scientific Writing, Science Communication
Business Analyst, Data Analyst, Business Intelligence, Process flow
AI and Machine Learning
Sports Analytics
Marketing, economics, business analytics, sports analytics, consulting, pricing, sports market analysis
marketing, consumer behavior, entrepreneurship, journalism, market research, journalism, culture, music, urban studies, civic engagement, community
Economics, Sports, Business, Math, Stats, Data Science
Sport Analytics, Data Science, Programming, Econometrics
Data science, Sports analytics, Bayesian statistics, Machine learning
Business, technology, economics, sports analytics, Chinese language/culture/politics
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, sport and entertainment ticketing, stocks, sports marketing, cryptocurrency, music, movies, tv shows, and other pop culture.
Sport Analytics and Data Science