Hi, I'm Gavin and I am passionate about solving data problems. This includes topics such as data engineering, analytics, and machine learning. I am currently interning at Sony Interactive - Playstation as an analytics engineer. I have previously interned at Cadence Design Systems and S&P Global as a Data Engineer. Equipped with a plethora of data tooling, I am confident I could effectively solve any problems that come to me. I currently attend UC San Diego's Data Science program, graduating March 2026.
You found my alter ego! I'm a huge fan of all types of EDM, and I'm always looking for new music to listen to. I've been an amateur bedroom DJ for about a year now, but I occasionally perform for friends. I am not just an EDM enjoyer, I love any and all types of music.
I have worked in Gaming, Financial Services, Tech, Startups, Academia, and IT/Helpdesk. Feel free to check them out!
Coming soon!
Developed an automated data governance workflow reducing admin promotion time, built an internal engagement platform connecting employees with office events and activities, and created a Python library enabling rapid development, testing, and deployment of serverless functions within Domo.
Skills/Technology Used: Python, Domo, SQL, Data Governance, Serverless Architecture, Dashboard Development
Spearheading data collection through survey creation, geospatial analysis identifying key plant structures in farms, and using custom visual tools to make enriching and useful data analysis for professors, educators, and academics
Skills/Technology Used: Python, Survey Creation, Data Communication, arcGIS
Moved Terabytes of developer productivity data from Redshift to Databricks, won an company wide intern competition to find innovative uses for an LLM, and created dashboards supporting vertical members of the organization.
Skills/Technology Used: Databricks, PySpark, Gen AI, SQL, Python, Power BI
Through the Data Science Club at UCSD I was paired with a local start up and helped out to build up their data infrastructure. Devised system design documents as well as making an analytical PostgreSQL database/schema for data science workloads.
Skills/Technology Used: MongoDB, PostgreSQL, Data Cleaning, System Design
My first hands on enterprise database experience, this is where I learned how to develop good software in a company. Created a data discrepancy finder between two unconnected databases and also created 20+ views for analytics teams.
Skills/Technology Used: MySQL, SAP ERP, Workday, Python
Successfully led a team of 12 assistants to provide helpdesk and A/V help to thousands of students and faculty (and one time the Department of Defense). I was the sole lead of the team, taking over for a full-time position for over a year while studying.
Skills/Technology Used: Technical communication, Leadership, Helpdesk
I love making cool and interesting projects (at least to me). I use personal projects as a way to learn about new technologies or frameworks. I have developed over 50 projects! Many small and solely developed, but here are my favorites.
I've produced and released numerous tracks and mixes across various electronic music platforms. Here are some of my favorite productions and live performances that showcase my unique sound and style.
Visualized the first 10,000 research papers on ArXiv in 3D, performing clustering and dimensionality reduction on embeddings built from the titles and abstracts of the papers. I plotted the results in 3D space using Javascript, HTML, and CSS, and I am currently exploring how to scale this visualization to all ~2.2 million papers on ArXiv.
Skills/Technology Used: K-Means, UMAP, HTML, CSS, Javascript, OpenAI API
Developed a web app to find celebrity look-alikes. I was mainly responsible for facial embeddings, similarity search, and backend API development for the project. Optimized to find a lookalike in less than half a second, comparing the user's face to over 1,500 faces. In less than 24 hours, it was used over 300 times by hundreds of distinct users.
Skills/Technology Used: FastAPI, Facial Embedding via Deep Learning, Similarity Searching
Created a REST API microservice to randomly create a subset of a dataset. I implemented many database connectors for both SQL and no-SQL databases. I made a local serialization system to ensure all previously generated subsets are retrievable. This is part of a much bigger machine learning project.
Skills/Technology Used: REST API Development, FastAPI, SQL, NoSQL
Trained a convolutional neural network to identify the original 102 Pokemon trading cards. All data tooling was created by me including web scraping, data labeling, and batch processing of the data. I utilized Keras and its pre-processing library to handle training and pre-processing of the images.
Skills/Technology Used: Deep Learning, Keras, Web Scraping, Image Processing, Image data pipelining
Wrote up an analytics report regarding which side is more likely to win and for what reason. Used statistical analysis techniques as well as Pandas, numpy, and plotly to do analytical processing and creating visualizations.
Skills/Technology Used: Statistical Analysis, Pandas, NumPy, Plotly, Data Visualization
My team and I created a comprehensive dinosaur survival environment and created a genetic algorithm to find the most optimal Dinosaur parts and personality traits (Fun Fact: Being cooperative really helps). We ended up being one of the winners of the Hackathon!
Skills/Technology Used: Reinforcement Learning, PyGame Simulation, Data Analysis
Building off the original tool made for my PokeID, generalized the image/data labeling pipeline by implementing QOL features such as autocomplete and rewind. After running tests on normal image annotation, it sped up the time it takes to label the image by more than 75% allowing for quick and easy annotation.
Skills/Technology Used: Python, Data Labeling, PyQt
