The Wharton Analytics Fellows program unites Wharton undergraduates, MBAs, graduate students, and faculty members in the pursuit of a common goal: tackling our clients’ most complex challenges using the power of AI and analytics.
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Wharton Analytics Fellows
Wharton Analytics Fellows is a highly selective fellowship program that allows motivated Wharton undergraduates, MBAs, and graduate students to put their analytics skills to the test in the real world. Fellows consult for our clients on their toughest data science problems, building them predictive models and presenting their findings to senior leadership. Our clients put these models into practice, giving students the opportunity to see their work have a real impact.
For more information, contact whartonanalyticsfellows@wharton.upenn.edu.
Spring 2026 AI & Analytics Accelerator
Applications for the Spring 2026 AI & Analytics Accelerator are now closed. This cohort has been filled through a combination of prior applicants and students engaged through student clubs.
Stay informed about upcoming AI & Analytics Accelerators. Join our interest list below to receive updates.
Wharton Analytics Fellows Board
Frank Ma
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My name is Frank Ma and I am a junior studying Finance, Statistics and Computer Science. Since joining WAF, I have worked on projects with Fox Entertainment and Orchard Global Asset Management. Outside of school, I enjoy long-distance running and hiking, and I’m part of Wharton Leadership Ventures.
Ashwin Ranjan
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My name is Ashwin Ranjan and I’m a sophomore studying Electrical Engineering and Math. With WAF, I’ve worked on developing drug pricing strategies with RXSense and nurse shift fulfillment with ShiftKey. Outside of WAF, I’m involved in semiconductor device research and enjoy skiing, cooking, and watching football.
Ned Sekula
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Hello! My name is Ned Sekula, and I am an undergraduate at the University of Pennsylvania studying Computer Science and Classics. My academic interests center on Algorithms and Complexity Theory, Machine Learning, and Statistics. I have been in WAF since 25sp, and have worked on drug demand forecasting with RxSense as well as dynamic pricing for ShiftKey. Outside of academics, I enjoy backgammon and squash.
Val Tham
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I’m Val Tham and I’m a junior studying Finance, Statistics and Computer Science. This is my second semester with WAF, and I previously worked on predicting drug utilization with RXSense. Beyond WAF, I’m involved in the Wharton Undergrad Communication Program. I also love hiking and all things nature.
Nicholas Wu
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I’m Nicholas Wu and I’m a junior studying Finance and Computer Science. This is my third semester with WAF, and I have previously worked on projects with RxSense and Accenture. Outside of WAF, I’m a captain on Penn’s varsity fencing team and previously fenced for Canada’s national team.
Read About Past Projects
Keeping Viewers Glued to Their Seats at the 2021 AI & Analytics Accelerator
An MBA and undergraduate student team analyzed data from FOX Entertainment to help inform data-driven promotion strategies for marketing their TV shows.
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Students Offer Sweet Solutions to Data Problems at the AI & Analytics Accelerator
How strong is the halo effect when it comes to selling candy and gum? This was among the many questions students set out to answer during the third annual AI & Analytics Accelerator.
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How a Penn/Wharton Student Team Is Helping the Barnes Foundation Reach Bigger Audiences
When the Barnes Foundation had questions about its attendance data, a team of Penn students answered through the AI & Analytics Accelerator.
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