Data Science Graduate Capstone Projects

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The capstone highlights the culminating work of our M.S. in Data Science students. Students complete their capstone throughout their final semester, working either individually or in groups to tackle exciting data-driven problems. Read on to learn about the students' project titles and even check out some of their GitHub profiles. 

Spring 2026

DATS 6501.10 | Dr. Yuxiao (James) Huang

Student Name(s)	Project Title
Sharon Joanna Azariah	AI-Driven Hospital Revenue Leakage Detection System
Naiska Buyandalai	RideShift: Smart Pickup, Cheaper Rides - A Location-Based Fare Optimization App
Brian Gulko	Modeling the Future of Hispanic Serving Institutions
Yeobi Hobson	Wardrobe AI
Jasreen Mehta Darshini Lakshmiah Pramod Krishnachari	DockWise AI – Multi-Agent Port Congestion Prediction System
Ayush Meshram Dhatrija Sukasi Trisha Komal Singh	SmartSplit App
Sagar Shah	Lane Detecting System Using Deep Learning
Wali Siddiqui	Quantitative Evaluation of Forecast Accuracy for Investment Strategy Ranking
Abhilasha Singh Pranjal Wakpaijan	PivotMyTrip

DATS 6501.11 | Dr. Junjun Yin

Student Name(s)	Project Title
Barathkumar Anantharaj Gowri Sriram Lakshmanan	AirGuard-Air pollution forecasting in South Coast Air Basin, California
Tambudzai Charumbira (Gundani) Joshua Gray	Global AI Governance Narratives: A Spatial NLP Analysis of Academic and Policy Discourse
Aakash Hariharan Aishitha Pachipala Siddharth Saravanan	World Bank Project: Air Pollution as an Economic Proxy
Julio Montoya Mendoza Dhwanil M. Mori	Strategic Procurement and Supply Chain Resilience: Operational Risk, Hidden Costs, and Organizational Performance
Joyce Ruvimbo Munetsi Likhitha Reddy Bairu	A representation learning approach to scenicness prediction using urban imagery
Aniruddh Rajagopal Suraj Ravindra Kapare	Beyond Black-Box Assessment: Identifying Visual Properties that Predict Aesthetic Attraction in Urban Architecture
Jin-Hyuk Son	Beyond Residence: Mobility-Driven PM2.5 Exposure Disparity in the DMV

DATS 6501.12 | Dr. Amir Jafari

Student Name(s)	Project Title
Rahul Arvind	World Bank Project: Forecasting Inflation Using Google Trends Data
Hari Prasannaa Thangavel Ravi Anusha Umashankar	BRIDGE: Building Role-specific Interprofessional Dialogue and Guided Education (GitHub Link)
Abhinaysai Kamineni Anurag Surve Ritu Patel	Automated EEG Seizure Detection: A Multi-Model Comparative Study on the CHB-MIT Dataset (GitHub Link)
Adam Stuhltrager	A Picture is Worth a Thousand Words: Multi-Scale Video Understanding through Augmentation-Graded Contrastive Learning (GitHub Link)
Pranav Dhawan Akshit Reddy Palle Sayam Mukesh Palrecha Aakash Singh Sivaram	Multimodal Techniques for Financial Time-Series Forecasting (GitHub Link)
Shabnam Rafat Ummey	MorphGNN: Property-Driven Architecture Adaptation for Graph Neural Networks )(GitHub Link)
Vishal Fulsundar Aswin Balaji Thippa Ramesh	Energy Price Forecasting using Macro Indicators and News Data (GitHub Link)

DATS 6501.14 | Dr. Abdi Awl

Student Name(s)	Project Title
Vaijayanti Deshmukh Jahnavi Vallepalli	Fair Credit Risk Scoring & Fairness-Aware Decision Intelligence
Yonathan Shimelis Amrutha Jayachandradhara	Solar Energy Generation Forecasting — Radekhiv & Rajasthan
Aditya Kanbargi Sanjana Kadambe Muralidhar	Early Student Dropout Detection & Engagement Intelligence
Tycho Gormley Mohammed Ismail Sarfaraz Shaik	EV Charging Infrastructure Equity & Optimization
Lasya Raghavendra Shaik Mohammad Mujahid Khalandar	Quantifying Political Polarization in News Media
Abirham Getie Amogh Ramagiri	Ticket Triage, and Knowledge Base Gap Analysis and Generation
Annie Cheng Sai Rachana Kandikattu	Wildfire Risk Prediction Using Geospatial Data
Maddala Harshith Tadapaneni Snehitha	Deep Learning Based Detection of Thorax Diseases from Chest X-rays with Confidence Estimation
Haeyeon Jeong Junhua Deng	Multi-Modal Misinformation Tagger