Bernie Graves

Data Science

Video Game Development

App Development

Software Engineering

About me

I'm a recent honors graduate from UC Santa Barbara with a B.S. in Statistics and Data Science. Very generally, I enjoy figuring out how things work and then making things work. My journey in tech began with Data Science where I began working on personal projects. I learned that my favorite part was actually deploying machine learning models because people could actually use what I created. From here I started working on projects outside Data Science. This has taken me down paths exploring mobile app development, video game development and most recently, building and deploying full stack web applications like Soundmates for Spotify and BrandWiz.

As apart of my Statistics and Data Science Degree, I completed a capstone project with the local sports science company P3. P3 typically uses their large library of biomechanical measurements on professional atheletes to help with injury prevention. The goal of our project with them was to use that same data to model on-court performance for NBA players. I created a random forest model that can be used to evaluate NBA Draft Prospects and how they would perform over there first couple of years in the NBA.

Outside of class and work, I enjoy watching and playing basketball, working out and playing video games. Although it hasn't always been fun, I enjoy rooting on the Sacramento Kings (light the beam!), San Diego Padres and the Los Angeles Chargers.

What I'm doing

Data Science

Using R and Python to analyze data and build machine learning models in class and in personal projects.
Full Stack Development

Building full stack web applications using React and cloud technologies
App Development

Worked with Learning Foundations to begin making their MoteNote™ into an iOS app.
Video Game Development

Created Speed Sudoku and Food Fight! using Unity and C#.

Resume

Education

University of California Santa Barbara

B.S. in Statistics and Data Science
2019 — 2023
Graduated in June 2023 with honors. GPA; 3.81.
Relevant Coursework: Capstone Project in Data Science, Intermediate Python and Data Science, Multivariate Calculus, Regression Analysis, Non-parametric methods, Business Strategy, Financial Mathematics, Statistical Machine Learning.

Experience

Data Science Researcher

Santa Barbara
January 2023 - January 2024
Conducted EDA and web scraping to analyze P3's proprietary biomechanical data, correlating it with NBA players' performance. Developed machine learning models, including Random Forests and LASSO, in R, to predict performance and identify key measurements related to performance
iOS App Developer

Remote
December 2022 - April 2023
Built an original iOS app to translate MoteNote book into an interactive app. Coordinated all aspects of the app including back-end authentication, querying the database with Firebase, and integrated the UI with SwiftUI. Improved the customer experience by incorporating calendar/daily planner and improving emotional intelligence with executive function.
Venture Sourcing Intern

Singapore
June 2022 - August 2022
Explored deep tech innovations in Singapore by conducting market research for Origgin Ventures. Led data analysis of competitor landscape and made data-driven recommendations to leadership to inform decision making.

Projects

Speed Sudoku

Sole developer on iOS mobile game Speed Sudoku. Developer using Unity and C# and deployed live on the Apple App Store. Speed Sudoku
BrandWiz

Built full stack serverless web application that utilizes AI to generate customized logos, slogans and names for user’s products. Leverages AWS for serverless backend and database hosting, React for the frontend and Stripe for payment integration. Live at brand-wiz.com! brand-wiz.com
Soundmates for Spotify

Developed web application to enhance the Spotify experience by providing users with features for connecting with friends and building playlists. Leveraged the JavaScript and the MERN stack to develop a user-friendly application and to integrate the Spotify Web API. soundmates-for-spotify.com
Amazon Review Scraper and Dashboard

Built full stack application for Amazon sellers to optimize sale of products. Developed REST API to deploy web scraping, data pipeline, and data science workflow. Created word-cloud and sentiment model dashboard enabling users to easily view data trends and identify pain and pleasure points in existing products.
Food Fight!

Developed a multiplayer 3 rd person “thrower” video game where players start food fights in a cartoon cafeteria. Utilized Unity, C# and NetCode for GameObjects to deploy all aspects of the game ranging from animation to networking. Leveraged Agile development to effectively manage timelines and prioritize key features of the game.
Twitter NBA Dashboard

Created a dashboard using the Python package Dash that allows users to explore the effect Twitter has on select NBA players statistical performance. Collected 71 MB of data from Twitter and NBA.com through various APIs. Leveraged the Amazon Comprehend API to do sentiment analysis on Tweets.
Signature Classifier

Worked with a team of 6 to create a signature classifying web app to predict if signatures are genuine. Built a frontend to allow users to submit a photo of a signature and return a prediction from a backend Flask API. Automated deployment of the app to Azure Web Services on commits to the repository.
Airline Sentiment Analysis

Built a sentiment analysis model using TensorFlow and trained it using Airline review data. Deployed the model using FastAPI and exposed a public endpoint of the API using and Docker Google Cloud Run. Automated CI/CD to update the deployed container on commits to a GitHub repository.
Dashboard with R-Shiny

Built workflows in GitHub Actions to automate CI/CD. Built and tested Docker containers on pull requests. Uploaded container to Docker Hub and deployed to Microsoft Azure Web Services on commits to the repository.