Datathons

Hone your analytics skills through intensive data competitions, working with actual companies using real-world datasets.

Benefits

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SKILL DEVELOPMENT

Develop highly marketable skills through hands-on experience with the latest tools and programming languages in data analytics

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NETWORKING AND RECRUITING

Gain exposure to executives at leading companies who are looking for top talent just like you

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REAL-WORLD IMPACT

Work with real-world datasets to help companies solve an actual business challenge

Spring 2022 Datathon

March 18 – April 1, 2022

This unique datathon experience was composed of teams made up of both Fulton Bank employees and Penn students challenged with developing insights and recommendations for Fulton Bank using their data around selected business challenges in Consumer and Small Business, Fulton Financial Advisors, Information Technology, Marketing, and Risk Management.

 

ABOUT FULTON BANK

Since Fulton Bank opened its doors in 1882, they have strived to deliver the best banking experience for their customers. Today, as part of Fulton Financial Corporation, a $25 billion financial services holding company, Fulton Bank offers a broad array of financial products and services in Pennsylvania, New Jersey, Maryland, Delaware, and Virginia.

Fulton Bank is proud to offer convenience in neighborhoods across the region through over 200 financial centers and specialty offices and almost 300 ATMs.

The Winners

Surprisingly, this semester’s winning team was composed entirely of students. The winners, Team 18, sought to build a model to predict which customers are most likely to default. The team first cleansed a massive collection of Fulton Bank data and feature-engineered it for easier interpretability within their model. Using a variety of methods such as Linear Discriminant Analysis (LDA), decision tree, and XG boost, Team 18 was able to provide Fulton Bank with meaningful indicators of which customers are likely to default, and when.

WHAT WAS DIFFERENT ABOUT THIS DATATHON?

  • Students had the opportunity to work directly with Fulton Bank team members to solve a business challenge.*
  • They chose from five projects based on their interests and professional goals – Consumer and Small Business, Fulton Financial Advisors, Information Technology, Marketing, and Risk Management.

Consumer and Small Business

Project Type: Product Recommendation

Business Question: How can Fulton expand its small business relationships by analyzing card usage, customer behaviors and other available data to predict next product offer?

Fulton Financial Advisors

Project Type: Customer Lifetime Value

Business Question: How can Fulton Financial Advisors identify customers at risk of attrition?

Information Technology

Project Type: IT Ticketing/Servicing Strategy

Business Question: What would be the business value of a 10% reduction in RemedyForce tickets to Fulton Bank?

Marketing

Project Type: Customer Lifetime Value

Business Question: What products/services are we lacking that Generation Z utilizes?

Risk Management

Project Type: Customer Lifetime Value

Business Question: Can we build a model that predicts which customers will default? Can it outperform existing models? Can we find clusters of the kinds of customers who default?

 

WHO IS ELIGIBLE?

Datathons are open competitions. All Penn and Wharton undergraduate and graduate students are welcome to participate. Technical skills (i.e., Python) and/or subject matter expertise are not required but are a plus.

 

HOW IT WORKS

  • Students choose from five projects – Consumer and Small Business, Fulton Financial Advisors, Information Technology, Marketing, and Risk Management. Each project poses a unique business challenge, and it’s their job to help solve it!
  • All teams require at least three members, with no more than 5 members per team. Once formed, teams can choose to remain student-only, or partner with Fulton Bank employees.
  • Analyze Fulton Bank’s data and develop an innovative and implementable solution.
  • Teams submit short video presentations (10 minutes max), PowerPoint deck, and code to UPenn Canvas. Judges determine 3-5 finalist teams.
  • Finalists will present their findings to the judges and compete for the top-three prizes

 

PRIZES**

  • 1st Place: $300 gift card per person
  • 2nd Place: $200 gift card per person
  • 3rd Place: $100 gift card per person

“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.

Register
Form a team of three or more members and register.

Launch
Meet the sponsoring company via webinar, learn about their business challenge and project objectives, and ask questions.

Analyze
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
Present your findings and recommendations to the company. The company selects a winning team based on their ingenuity and strategic solutions.

Spring 2021 Datathons

Overview
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.

Overview
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.

Previous Datathons

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.

Articles

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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