YUGANT JHA
About Me
I am a Computer Science undergraduate at The University of Texas at Dallas with a strong interest in backend development, machine learning, and building practical, data-driven applications. I have experience developing full-stack projects such as a stock price forecasting platform and an AI-based travel cost estimation tool, using technologies like Python, FastAPI, REST APIs, and Supabase. I enjoy learning by building and aim to create software that is both technically sound and impactful.
Education
University of Texas at Dallas
Bachelor of Science in Computer Science
Expected Graduation: May 2028
Major: Computer Science
Minor: Business Intelligence and Analytics
Honors: Collegium V Honors Program
Experience
AIM - Artificial Intelligence Society (AIS), UT Dallas
Project Mentee - TravelBudgetFX | Sep 2025 - Dec 2025
- Contributing to an AI-powered travel budgeting platform that forecasts expenses using current and future foreign exchange rates.
- Worked on designing and implementing machine learning models for currency trend prediction to improve budget accuracy.
- Collaborated with a multidisciplinary team to translate financial data into user-friendly insights.
University Housing Office, UT Dallas
Front Desk Student Assistant | Dec 2024 - Present
- Manage front desk operations and assist students with housing-related inquiries and concerns.
- Maintain accurate records and coordinated with staff to ensure efficient issue resolution.
- Delivered consistent customer service in a fast-paced, student-facing environment.
Licenses & Certifications
Machine Learning with Python
IBM (Coursera)
Python Programming Fundamentals
Microsoft (Coursera)
Core Skills
Projects
TravelBudgetFX
AIM Club Project | 2025
TravelBudgetFX is an AI-powered smart travel budgeting and itinerary planning platform designed to simplify trip planning and reduce overspending. The application combines real-time currency data, budget estimation, and personalized itineraries into a single unified experience I worked on designing and implementing a Temporal Fusion Transformer (TFT) deep learning model to forecast foreign exchange (FX) trends, enabling more accurate budget predictions for international travel. The model captures both short-term and long-term temporal patterns in currency data, helping users plan trips with better financial confidence.
Stock Price Forecast Project
Personal Project | 2025
Developed a full-stack web application that forecasts stock prices using an XGBoost Regressor machine learning model. Implemented a responsive interface allowing users to search stock symbols and view real-time prices, historical data, and 7-day forecasts. Built the backend with FastAPI to integrate financial data from Yahoo Finance and Finnhub APIs, while storing forecast results in a Supabase database. Designed the frontend with HTML, CSS, and JavaScript, including auto-suggestions and recently viewed stocks. This project demonstrates expertise in data acquisition, machine learning integration, and interactive web development.
Honors & Awards
Collegium V Honors
Hobson Wildenthal Honors College - UT Dallas
Dean's List
Fall 2024
Academic Excellence Scholarship
University of Texas at Dallas