Hi, I'm

Pavan Sah

Fourth-year Statistics & Data Science student passionate about AI, Finance, and Green Energey. Excited about startups, problem-solving, and tech innovation.

About Me

I am a Statistics & Data Science student at UCLA with a passion for technology, finance, and AI. I have experience in sales, programming, and data analytics. I love exploring business opportunities and creating innovative solutions.
  • Python
  • R
  • SQL
  • Machine Learning
  • Data Visualization
  • Business Strategy

Experience

Pool Security - The Lewis Group of Companies
Jul 2023 – Sept 2023
  • I was in charge of verifying that folks who were enjoying the pool were residents or guests of the apartment complex and made sure the pool was used in a safe manner.
Concessions - Golden One Center
Feb 2023 – July 2023
  • A part-time job where I fulfilled customers’ orders and requests at Kings games and any other events or concerts held within the facility.
Lead Generator - Pauler Solar
Nov 2022 – April 2023
  • I generated leads by door-knocking and using my network to set up meetings where we showcase the value of going solar.
Lead Generator - Sunrun Retail Sales
Aug 2021 – Oct 2022
  • As a lead generator at Costco and Home Depot, I learned how to draw people’s attention with engaging pitches, ensure they are the right candidate for us, and then work with them to plan out next steps.
Cashier - Safeway
Sept 2020 – Aug 2021
  • I enjoyed being a cashier because of the customer interactions and the co-workers I got to hang out with. I was known for having a “question of the day,” playing rock-paper-scissors, and memorizing jokes for my customers.

Education

Sep 2023 - Present
B.A. Business Economics & Data Science
UCLA
Aug 2018 - July 2023
Economics Associates Degree
Sacramento City College

Projects

Battleship AI Simulation
R AI Strategy Game Simulation
Battleship AI Simulation
Developed an AI-powered Battleship game simulation in R, focusing on AI strategy optimization.
Housing Price Prediction Model
Python AI
Housing Price Prediction Model
Given a housing dataset, we were able to train a model to predict the price of a home in a given area.
Digital Humanities Project on the Wealth Gap
Web Development
Digital Humanities Project on the Wealth Gap
We looked into how different economic events affect each wealth percentile.

Get In Touch

Feel free to reach out! I’m always open to discussing opportunities, projects, or just to chat.