Undergraduate Student Assistant
Fresno State Transportation Institute
Fresno, CA, United States
I’m Pratham Aggarwal, a dedicated college student deeply immersed in the world of AI, machine learning, and data analytics. Over time, I’ve honed my expertise in Python, SQL and AI/ML tools that have enabled me to work on various projects, from real-time data dashboards to in-depth research on topics like transit accessibility, traffic congestion patterns, and even stock market analysis. My fascination with large datasets and complex algorithms goes hand-in-hand with my desire to solve real-world problems, whether that means helping improve public facilities or creating more efficient ways to process financial information.
I believe that the best way to learn is through hands-on experience, which is why I’ve devoted myself to exploring multiple facets of AI and machine learning. I’ve spent countless hours experimenting with different models, frameworks, and data pipelines, continually pushing myself to master emerging technologies. My work often involves formulating hypotheses, running simulations, and visualizing results to uncover insights that can guide better decision-making. This process isn’t just academically rewarding—it also fuels my creativity and entrepreneurial spirit.
Beyond academics, my entrepreneurial drive doesn’t stop at conceptual ideas. I’m actively exploring the startup ecosystem, eager to transform my prototypes and research into fully fledged products and services.
Looking ahead, my goal is to become a leader in the AI space—someone who not only builds cutting-edge models but also understands how to apply them ethically and responsibly. I’m dedicated to refining my technical abilities, diving deeper into fields like deep learning and large language models, and ultimately using these skills to create technologies that make a meaningful, positive difference.
Disclosure information not submitted.
A Real-Life-Data-Based Temporal Analysis of Transit Accessibility in Fresno City
Tuesday, June 10, 2025
4:45 PM – 6:00 PM MT
A Real-Life-Data-Based Tool for Analyzing Transportation Barriers and Inequities in School Access
Tuesday, June 10, 2025
4:45 PM – 6:00 PM MT
A Real-Life-Data-Based Tool for Analyzing Transportation Inequities in Access to Healthcare
Tuesday, June 10, 2025
4:45 PM – 6:00 PM MT
A Real-Life-Data-Based Transit Accessibility and Equity Analysis: A Case Study on the Fresno City
Tuesday, June 10, 2025
4:45 PM – 6:00 PM MT
Exploring 14 Years of Fresno Traffic Patterns: A Data-Driven Study Utilizing Machine Learning Models
Tuesday, June 10, 2025
4:45 PM – 6:00 PM MT
Nationwide Transit Accessibility Analysis Using Real-Life Data
Tuesday, June 10, 2025
4:45 PM – 6:00 PM MT
Transformative Location Service Platforms: Comparing Geospatial Data, APIs, Features and Application
Tuesday, June 10, 2025
4:45 PM – 6:00 PM MT