Tej Gangupantula

About me

Tej Gangupantula

University of California, Santa Barbara

Hello! I'm Tej, a student and aspiring AI Engineer pursuing my B.S. in Statistics and Data Science at UC Santa Barbara. I am particulary interested in machine learning, deep learning, and agent-based AI tools.

My path into AI started with curiosity about how data reveals patterns and drives decisions. I’ve worked on predictive models, chart summarization tools, and care pathway systems using technologies like GPT, scikit-learn, and TensorFlow to create tools that support medical outcomes.

When I’m not building or learning, I enjoy cooking for my family, friends, and myself, working out, and spending quality time with my loved ones. I’m excited about AI's potential to drive change, especially where it can improve health, equity, and access through smart, data-driven tools.

Experience

AI Agent Development Intern
Jun 2025 - Present
Berkeley, CA
Machine Learning Intern
Jul 2024 - Sep 2024
Davis, CA
Concessions Event Staff
Feb 2024 - Present
Santa Barbara, CA
Web Development Intern
Modesto City Schools District
Nov 2022 - May 2023
Modesto, CA
Aerial View Ocean Front

Featured Projects

🧠
Brain Tumor Classification

Brain Tumor Classification

Developed a Convolutional Neural Network model using TensorFlow and Keras to classify brain tumors (glioma, meningioma, pituitary tumor, no tumor) with 95% accuracy on test data, leveraging a dataset of 7,000+ MRI scans. Implemented advanced data preprocessing and augmentation techniques to improve model performance and ensure robust predictions.

TensorFlow Keras Python Seaborn Matplotlib
🏀
NBA Finals Prediction

NBA Finals Outcome Prediction

Developed a Random Forest classification model in Python to simulate and predict 2025 NBA Finals outcomes, achieving 62% test accuracy using team-level regular season and playoff metrics. Engineered a Monte Carlo simulation to estimate championship probabilities over a best-of-seven series, predicting a 75.5% chance of the Oklahoma City Thunder winning against the Indiana Pacers.

Python Random Forest Monte Carlo Pandas Scikit-learn

Technical Skills

💻

Programming Languages

Python Python
R R
SQL SQL
Java Java
JavaScript JavaScript
HTML HTML
🤖

ML/AI Libraries

TensorFlow TensorFlow
Keras Keras
Scikit-Learn Scikit-Learn
OpenAI OpenAI
Langchain Langchain
📊

Data Science

Pandas Pandas
NumPy NumPy
Matplotlib Matplotlib
Seaborn Seaborn
Streamlit Streamlit
🔧

Tools & Frameworks

Git Git
Tableau Tableau
Django Django
Jupyter Jupyter
Google Cloud Platform GCP

Get In Touch