Wharton Analytics Fellows

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 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.

AI & Analytics Accelerator

The AI & Analytics Accelerator gives selected students the opportunity to work directly with leading companies to solve actual business challenges using the latest advances in machine learning and AI.

Who is Eligible
Penn and Wharton undergraduate, MBAs, 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.

How to Apply
Spring Applications are closed. Please email whartonanalyticsfellows@wharton.upenn.edu with any questions.

Role Requirements

Business Lead
Business Leads are responsible for leading and managing the project team, coordinating with clients, and managing the finer details of the engagement. They are usually MBAs or upperclassmen and often have extensive work and leadership experience in business and consulting.

Technical Lead
Technical Leads are data science experts with high-level programming skills who are responsible for the technical aspects of the projects. They build the most complex models and mentor analysts throughout the project. Technical Leads are usually PhD or MSE students with extensive industry experience.

Senior Analyst
Senior Analysts are top undergraduates with advanced skills in programming, statistics, and modeling. They usually have high-level coursework in the CIS and STAT departments under their belt in addition to significant internship and project experience.

Junior Analyst
Junior Analysts typically have intermediate data science skills at roughly the level of STAT 102, STAT 477, and/or WUDAC’s Analytics 101 and 201 courses. They are notable for their willingness to learn and work hard, and many of them progress into leadership roles within WAF in later semesters.

Benefits

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Apply classroom knowledge in a real-world context

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Consult for some of the world’s biggest companies on extremely interesting projects

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Join a community of some of the best data scientists at the University and improve your skills

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Access exclusive recruiting opportunities with top firms in a variety of industries

Spring 2024 AI & Analytics Accelerator Projects

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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.

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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.

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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.

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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.

Wharton Analytics Fellows Board

Mohul Aggarwal, W'25

Vice President of Social

Hi everyone! My name is Mohul Aggarwal, and I’m a sophomore studying Statistics and Finance. This is my third semester in WAF, and I’ve been involved in two projects–WPA Happiness Research and MLS. In my spare time, I’m involved in fusion dance through Penn Dhamaka and love weight-lifting. I’m super excited to be working alongside the WAF Board to bring you all the best experience possible!

Contact Mohul at rcmand@wharton.upenn.edu

Kyle Liao, SAS'25

Vice President of Professional Development

Hi! My name is Kyle Liao and I am a junior in the College studying computer science and biology and submatriculating in data science. This is my third semester with WAF, and I really enjoyed working with Petco last spring. On campus, I have been involved with the Wang Genomics Lab and the Wharton Undergraduate Healthcare Club. In my free time I enjoy volleyball, thrifting, and playing board games. I am super excited to work alongside the rest of WAF board to make this semester a great experience for everyone!

Contact Kyle at kyleliao@upenn.edu

Rishabh Mandayam, W'25

Co-President

Hey everyone! My name is Rishabh Mandayam and I am a sophomore in the M&T program studying CS, Finance, and Statistics. This will be my third semester in WAF. I was previously on the FOX team doing an analysis of blockchain transactions and on the Align team building predictive models for their marketing campaigns. Outside of WAF, I am a member of Penn Quant’s Strategy development team and a board member of the Penn Central Banking Club. I also am a member of Penn Judo and play intramural soccer in my free time! I look forward to working with everyone this semester.

Contact Rishabh at rcmand@wharton.upenn.edu

Andrew Mao, M&T’26

Vice President of Social

Hey everyone! I’m Andrew Mao, a sophomore in the M&T program studying Electrical Engineering, Finance, and Entrepreneurship. This is my third semester in WAF. My past WAF projects include building predictive models for website traffic with Zillow and computer vision for game video analysis with Penn Athletics. Outside of WAF, I’m a member of Engineering Consultants at Penn and previously played for Penn Men’s Hockey. I’m also currently exploring how AI can be used to automate aspects of music production through a partnership with producers and artists in Asia. I look forward to working with everyone this semester!

Contact Andrew at am123@wharton.upenn.edu

Cindy Su, SEAS’26,

Vice President of Professional Development

Hi everyone! I’m Cindy Su, a sophomore in the School of Engineering and Applied Science studying Computer Science and submatriculating in Data Science. This is my third semester on WAF — I previously worked on two projects for Hearst Newspapers and IKEA. Outside of WAF, I am also involved in WiCS and t-art magazine, and I enjoy reading and hiking in my free time. I’m excited to work with everyone to create an amazing WAF experience and foster a vibrant data science community on campus!

Contact Cindy at cindysu@seas.upenn.edu

Annie Wang, W'25

Co-President

Hi everyone! My name is Annie and I’m a junior in Wharton and the College interested in statistics, finance, and math. This is my sixth semester in WAF and I’ve worked with Zillow, IKEA, and Philadelphia Orchestra/Kimmel Center. In addition to WAF, I’m also involved in WiCS, WUREC, and Penn Chamber. In my free time, I enjoy playing music, making art crafts, and journaling. I’m so excited to work with everyone and look forward to making WAF an amazing experience alongside the board!

Contact Annie at yfanwang@wharton.upenn.edu

Brian Williams, SEAS'25

Vice President of Marketing

Hey everyone! I’m Brian Williams, a junior in the School of Engineering and Applied Science studying Computer Science with minors in Engineering Entrepreneurship and Korean. This will be my third semester with WAF, and my past projects include Master Kong and Fox Entertainment. Besides WAF, I’m also involved with Hack4Impact, and enjoy cooking as well as spending time outdoors. I’m looking forward to working with you all!

Contact Brian at bewill@upenn.edu

Jon Wu, SEAS'25

Executive President

Hi everyone! I’m Jon Wu, a junior in the School of Engineering & Applied Science studying Systems Engineering and submatriculating in Data Science. As WAF’s Vice President of Social, I hope to bring together the WAF community so the organization can thrive and better serve its clients. My previous projects on WAF include Teach For America, McDonald’s, and Master Kong. In addition to WAF, I’m involved with the Engineering Deans’ Advisory Board and am passionate about utilizing advanced analytical methods to solve business and management problems.

Contact Jon at jonawu@upenn.edu

Rishabh Mandayam, M&T, ’24, has been collaborating with Analytics at Wharton’s corporate partners on the AI & Analytics Accelerator, a six-week project where students wrangle company data and provide actionable business solutions.

Last spring marked the 10th AI & Analytics Accelerator and saw Mandayam’s student team working alongside Hearst to uncover insights about the company’s readers.

Read About Past Projects

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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.
Read article >>

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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 Wharton AI & Analytics Accelerator, presented by Wharton Customer Analytics (WCA).
Read article >>

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 Wharton AI & Analytics Accelerator.
Read article »

Get Your Company Involved

Interested in working with our data science teams? Reach out to our Wharton partners to inquire about partnering with us.

Wharton Customer Analytics

AI @ Wharton

 

Applying artificial intelligence & advanced analytics to transform & innovate business enterprises & support AI applications within academic disciplines that include human-AI collaboration.

Wharton People Analytics

People Analytics

 

Advancing the practice of people analytics and evidence-based management to help individuals and organizations thrive.

Sports Analytics and Business Initiative

Applying data-driven decision-making to find new understanding of the evolving sports business industry.

Wharton Neuroscience Initiative

Wharton Neuroscience Initiative

Building Better Business through Brain Science.

Selected Projects

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Barnes Foundation

We provided the Barnes with a model for predictive analysis, incorporating pricing, revenue projection, visitation and attendance behavior, products, and promotional offers.

Moelis

We designed a Bayesian Graphical Model to understand an activist investor’s success and predict the result of proxy campaigns.

San Francisco Giants

We developed a predictive engine to improve ticket sales forecasting by more than 30%.

EA Games

We drive player engagement and retention by predicting online behaviors and using customer-level data.

L’Oreal

We identified drivers of employee attrition and provided recommendations to improve corporate diversity.

SEC

We leveraged performance data to unlock career path insights and kickstart the SEC’s People Analytics practice.