Broaden your analytics skillset through a month-long experiential learning project and work with actual companies using real-world datasets
Benefits
Spring Analytics Accelerator – Important Dates
Students must be able to commit a minimum of 10 hours a week for 8 weeks. Applications are closed.
Spring 2024 Analytics Accelerator Projects
Understanding & Reducing Absenteeism with Dallas Area Rapid Transit (DART)
Dallas Area Rapid Transit (DART) would like to work with Analytics at Wharton to understand and reduce absenteeism of its workers, which include bus drivers, train operators, and mechanics.
Absenteeism represents a significant barrier to service delivery, with DART currently experiencing daily averages of more than 20-21% absenteeism among scheduled workers.
DART would like to reduce this, while also developing a model to better predict absenteeism so they can have an appropriate number of workers on hand as backup.
Hulu Customer Segmentation with Fox
Fox is partnering with Analytics at Wharton to better understand the behavior of their Hulu streaming customers. Through the project, they would like to develop a customer segmentation model, which will be used for targeting their marketing and understanding the value of their content on Hulu.
Automated Integration of Men’s Health Magazine Articles with Relevant Products with Hearst
As the world’s largest lifestyle publisher, Hearst Magazines has a portfolio that includes more than 200 magazine editions worldwide.
As they build out marketplace experiences for each magazine, they are partnering with Analytics at Wharton to map marketplace product taxonomy to content taxonomy and automatically populate the marketplace shopping experience with relevant content.
For example, having articles on workout routines auto populating with the product listing experience for dumbbells in the Men’s Health magazine marketplace.
Determining the “Best” Creative Content for Advertising with Petco
In collaboration with Analytics at Wharton, Petco would like to utilize machine learning techniques to determine the best creative content to display in its advertising for different products and services through various marketing channels.
This will include, for example, which images to display for an advertisement embedded in an email to maximize customer engagement.
How it Works
Who Is Eligible?
Penn and Wharton undergraduate and graduate students who show a demonstrated interest in analytics and possess relevant skills ranging from project management, to client relations, to technical expertise. Technical skills are not required but are a plus.
Apply
Submit your application through a highly competitive selection process to become a Wharton Analytics Fellow and get assigned to a company based on your skillset and their needs.
Launch
Kick off the project, meet with your assigned company, and discuss their real-world business challenge.
Analyze
Working closely with a Wharton mentor, analyze the dataset using programming languages and tools of your choice (i.e., Python, SQL) and create a statistical model that helps to solve the business challenge.
Present
Share your findings and recommendations with your company at the Analytics Accelerator Summit.
“Having the opportunity to work with real datasets, I was able to gain a deeper understanding of many of the statistical concepts I had learned in my coursework. After working on three Analytics Accelerators, I feel confident in my ability to tackle a real-world, unstructured, data science problem.”
– Ashley Clarke, W’23
Fall 2023 Student Spotlights
During the Fall 2023 Analytics Accelerator, teams of students from across the University of Pennsylvania worked with corporate partners Align Technology, IKEA, TaskRabbit, and Zillow, analyzing their real data to uncover actionable business insights. We caught up with students from the Accelerator to hear about their experience working with these companies, and leading their Analytics Accelerator teams to success.
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Previous Partners
