Undergraduate Research Showcase Showdown

Join us in highlighting and celebrating Spring 2022 Carnegie Mellon Statistics & Data Science undergraduate research and capstone projects! Students in CMU's Statistics & Data Science have multiple opportunites to engage in team research projects from the time that they are sophomores through graduation. Click on each class's tab in the navigation bar to the left to learn more about this semester's class projects. The bar also allows you to access projects from previous semesters.

36-315: Statistical Graphics & Visualization (groups)
36-490: Advanced Undergraduate Research (groups)
36-497: Corporate Capstone/Data Science Experiential Learning (groups)
66-502: Senior Honors Thesis (individuals)

Click on the appropriate link to see projects from a previous semester:

Spring 2020 Fall 2020
Spring 2021 Fall 2021

Each spring, we, in association with Meeting of the Minds, run the Statistics Poster Competition. This year, all posters from the academic (36-490) and corporate (39-497) capstone projects, both fall and spring, are entered into the competition. The winners for the 2021-22 academic year are:

1st Place Mapping High-Impact Practices in Dietrich College
by B. Gu, J. H. Jung, J. Pak
2nd Place (Dis)Loyal Alliances: A Transnational Cold War Network of Power
by G. Deiss, X. Gan, I. Hu, S. Nie
3rd Place PHIGHT COVID: Effectiveness of State-Level Mask Mandates
by A. Dai, C. Kong, J. Lederman, S. Yang

36-315 Statistical Graphics & Visualization

As part of their final project, teams of students build and use interactive statistical graphics and visualizations in a research study. See this spring's project posters below.

Spring 2022: Ron Yurko

Projects
Team 1: Data Science Job Market
Shaoyan Zhang, Yue Hu, Sijia Fan, Yixuan Wu 		Project
Team 2: Gender Inequality in Movies Over Time Through the Bechdel Test
Chloe Lai, Lucida Fu, Jingchun Quan, Divya Banerjee 		Project
Team 3: Analysis of Transit Projects
Victor Wen, Roxena Liu, Steven Shou, Irene Gao 		Project
Team 4: Statistical Visualization and Analysis of QS College World Rankings Dataset
Meet Wadhwa, Trevor Moreci, Krishna Arjun, Alfonso Laffont 		Project
Team 5: Analysis of Car Accidents
Pam Sun, Aaron Gong, Ethan Wu, Steven Han 		Project
Team 6: How to Create Popular Marvel Superheroes
Daniel Kornbluth, Nick Pallotto, Darren Mok, John Fuller 		Project
Team 7: Statistical Analysis on NFL Play-by-Play Data
Eli Cohen, Skyler Mason, Verne Garin, Jacob Riviere 		Project
Team 8: Analysis of Moscow Real Estate Market
Samuel Minc, Aaron Marmolejos, Jared Santa Maria, Kenneth Wanamarta 		Project
Team 9: Historical Analysis of the MLB’s Offensive Performance
Kieran Ireland, Kyra Musmanno, Meghan Holquist, Emily Guo 		Project
Team 10: Top 2000 Spotify Songs
Sarah Li, Evelyn Chung, Audrey Ding, Dunmin Zhu 		Project
Team 11: Analysis of Chocolate Data
Zahir Saiyed, Oskar Eisgruber, Jerry Li, Shamika Dhuri 		Project
Team 12: Analysis of US Accidents
Rishi Dalal, Divit Malkan, Cheney Price, Eliza Reedy 		Project
Team 13: NBA Active Players in the 2021-2022 Season
Jintong Chang, Angela Chen, Xinhang Yu, Yiming Zhao 		Project
Team 14: Analyzing USA/Canada Youtube Trending Videos
Angela Wei, Raaka Mukhopadhyay, Patrick Costa, Seongwon Yoon 		Project
Team 15: World University Rankings
Greta Luo, Kazi Jawad, Daphne Yang, Deviena Pratomo 		Project
Team 16: Visualizations of Police Killings Data
Samuel Shin, Gaeun Oh, Josephine, Li, Lily Liu 		Project
Team 17: Analysis of Indian Engineering Salaries
Zoe Ding, Sharleen Kong, Yulu Zhu, Ruoyi Chen 		Project
Team 18: Analysis on Student Alcohol Consumption
Sachi Desai, Jocelyn Mayer, Dhruv Nambiar, Sage Betko 		Project
Team 19: Analysis of IMDB Movies
Nicole Packard, Dongkyu Kim, Justin Yoo, Sanjana Bhanushali 		Project
Team 20: Video Games: An Analysis of Sales, Platform, and Genre
Emily Ford, Sophia Hill, Xander Brick 		Project
Team 21: Analysis of Hotel Demand
Joyce Huang, Jae Hyuk Choi, Cionna Sharpe, Shefali Dahiya 		Project
Team 22: Video Games Sales and Ratings
Annie Chen, Serena Li, Joshua Tsai, Aditya Sharma 		Project
Team 23: Visualizing and Analyzing New York City Yellow Taxi Trip Data
Keerthi Adusumilli, Peter Zaccardi, Annika Lee 		Project
Team 24: Analysis of Netflix Content
Rachel Dolle, Harry Ren, Ziyan Wang, Rose Lee 		Project

36-490 Undergraduate Research

36-490 Undergraduate Research is an advanced research course for juniors and seniors. Groups of students collaborate with researchers and scientists in other disciplines and use advanced statistical methodology to tackle real-world challenges. The course heavily emphasizes professional skills development, including collaboration and both written and oral communication.


Spring 2022: Peter Freeman, Jamie McGovern, Zach Branson, David Brown, Nynke Niezink

Projects
Books for the Young -
Using Text Mining Techniques to Compare Early Children's Literature Book Categories
(with Rebekah Fitzsimmons - Heinz College)
Lawrence Jang, Matthew Song, Gisele Wu (with David Brown - English) 		Poster Presentation
CMU Course Landscape Scan - Information and Data Literacy
(with Joanna Dickert - Dietrich College)
Tong Hu, Madden Moore, Jenny Shan (with Zach Branson) 		Poster Presentation
Mapping High-Impact Practices in Dietrich College
(with Joanna Dickert - Dietrich College)
Brendon Gu, Jae Hoon Jung, James Pak (with Zach Branson) 		Poster Presentation
(Dis)Loyal Alliances: A Transnational Cold War Network of Power
(with Andreea Ritivoi - English)
Gavin Deiss, Xiaofeng Gan, Ingrid Hu, Suzanne Nie (with Nynke Niezink) 		Poster Presentation
Supporting Students with Data
(with Amanda Mitchell, Glenn Clune, Samantha Nielsen - Statistics & Data Science)
Linpeng Chen, Donny Dinerman, Emily Du, Alan Zhu (with Peter Freeman) 		Poster Presentation

36-497 Corporate Capstone

36-497 Corporate Capstone is a course in which we closely collaborate with both commercial and non-profit partners on real data science problems through educational project agreements. These projects can vary in scope but most commonly center on data integration, visualizations, statistical machine learning algorithms, data analysis and modeling, and proof-of-concept prototypes. Professional development skills such as collaboration and written/oral communication are heavily emphasized.

To learn more about partnering opportunities with Carnegie Mellon and Statistics & Data Science, please feel free to contact Rebecca Nugent (rnugent AT stat.cmu.edu) and/or Adam Causgrove (causgrove AT cmu.edu).

Spring 2022: Peter Freeman, Jamie McGovern

Projects
Characterizing Donors to the Pittsburgh Parks Conservancy
Pittsburgh Parks Conservancy
Kexin Bian, Jonathan Huang, Nanxi Wang, Seongwon Yoon, Yulu Zhu (with Peter Freeman) 		Poster Presentation
Mapping Particulate Pollution in Allegheny County
Allegheny County Health Department
Harine Choi, Stephanie Erickson, Yifan Wang, Yilin Wang (with Peter Freeman) 		Poster Presentation



Previous Partners: C.H. Robinson Worldwide, Inc, Black & Veatch, The NPD Group, The Principal Financial Group, CivicScience, TruMedia, Steady (App), Giant Eagle, Penguin Random House, Pack Up + Go, IKOS, ThermoFisher Scientific, PNC/Numo, USOPC, Optum

66-502 Senior Honors Thesis

Individual students may elect to pursue capstone-like research projects as senior honor theses.

Fall 2021/Spring 2022: Peter Freeman

Projects
Quantifying the Relationship Between Banking Crises and Political Instability
(with Daniel S. Hansen - Institute for Politics and Strategy)
Andrew Furlong 		Slides Presentation
What Drives Predictions in Traffic Forecasting? Data Valuation for Deep Learning on Time Series
(with Peter Freeman - Statistics & Data Science)
Dylan Chou 		Slides Presentation