Hone your analytics skills through intensive data competitions, working with actual companies using real-world datasets
“These competitions are very important for young data scientists like me who are just starting their career. Participating in Evite’s Datathon really helped me in my job search and actually getting a job.”
– Levani Zandarashvili
Former Postdoctoral Fellow at the University of Pennsylvania
How it Works
Who Is Eligible?
Datathons are open competitions. All Penn and Wharton undergraduate and graduate students are welcome to participate. Technical skills are not required but are a plus.
Form a team of three or more members and register.
Meet the sponsoring company via webinar, learn about their business challenge and project objectives, and ask questions.
Analyze the dataset using programming languages and tools of their choice (i.e., Python, SQL) and create a statistical model that helps to solve the business challenge.
Present your findings and recommendations to the company. The company selects a winning team based on their ingenuity and strategic solutions.
Can you make smart washrooms even smarter? Join the Essity datathon to help this global hygiene and health company discover untapped potential in their IoT data.
Essity’s global Tork brand uses IoT sensors in dispensers, bins, and people counters to help their customers clean more effectively. Essity would like to understand if there is untapped value in the data being collected as part of Tork’s IoT solution for smart washrooms.
February 19-26, 2021
This unique datathon experience will be composed of teams made up of both Fulton Bank employees and Penn Students to come up with insights and recommendations for Fulton Bank using their data around selected business challenges in HR, Operations, Consumer, Commercial and Finance. Students will present their findings to Fulton Bank leadership on Feb. 26 and a winning team will be selected. Team registration will open in Spring 2021.
Discovering New Customers and Game Usage via New Data Lenses
Student teams had one week to analyze user data from Origin Access, EA’s all-you-can-play subscription service, including their activity on the games included in the subscription catalogue and individually purchased games.
Driving Revenue Through Guest-To-Host Conversion
Students were asked to increase revenue for Evite by addressing one or more of the core drivers of growth. The winning team’s solution would be deployed on the Evite platform to make real-time decisions and to drive measurable improvement to an aspect of Evite’s user experience or lifecycle.
Identifying Key Customers and Industries through Customer Lifetime Value (CLV) Modeling and Regression Analysis
Twenty self-formed teams comprised of approx. 80 Penn/Wharton students were provided the same core set of Ryder System, Inc., customer data at the contract level to model the most valuable customers and industry segments to their business.
Datathon Challenge: How to Boost Sales for a Global Retailer
Students compete is WCA’s first virtual datathon to help an international retailer find innovative ways to help the company improve its gross margins.
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WCA Datathon Student Finalists Present Their Data Findings to Evite
Evite CEO Victor Cho, W’93, and VP Jay Neuman learned what Wharton and Penn student teams discovered about their company’s data at the Datathon finale.
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Evite Launches Machine Learning Project with No In-House Data Scientists
Evite and WCA teamed up to create a datathon for Wharton and Penn students to design and implement data-driven solutions for improving the user experience of the Evite platform and increasing revenue for the company.
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