Eric Sun

I'm

I'm a recent grad from the University of California, Davis. Building innovative and impactful software solutions fuels my work, and I am constantly exploring methods to leverage the intersection of new technology, data, and creativity amidst the rise of the AI era.

I mainly studied statistics, economics & computer science, but also have some experience in other fields, such as ecology, psychology, and business. My quantitative and computational background has allowed me to work on a variety of projects, ranging from Machine Learning to Web Scraping. Currently, I am focusing on developing my career in data analytics/science, and would love to work more with computer vision in a competitive setting.

In my free time, I love spending time with my closest people, exercising, and learning new things. Some things I'm very passionate about include soccer (Barca), reading (finance/metaphysics/psychology), and playing/listening to music. I also ranked Top 100 in Pixel Gun at one point and main Mario in elite smash.

Work Experience

Data Scientist

UC Davis Datalab | Part-time

YOLO Public Defender | web scraping, browser automation, CAPTCHA detection, modular progamming, and data extraction
NSF Bat Tracking System | ultralytics, pytorch, SLURM handling, HPC, ML training/validation, computer vision, image augmentation, and small-object detection/tracking
Deeper understanding of training neural networks, version control, and best software development practices

Data Analyst

Golden 1 Credit Union | Internship

Executive-level PowerBI visuals to showcase variances in satisfaction ratings across 10+ Operations-adjacent teams, driving transparency in leadership decision-making
Analyzed Branch-Member data with Power Query and SQL Server, uncovering insights that guided staffing and process improvements, contributing to reduction in branch wait times
Defined a north star KPI for the Operations department, enhancing performance metrics aligning with enterprise vision

Data Scientist

ASUCD Pantry | Part-time

Developed a Python script to extract food products from PDF invoices into a structured Excel file, automating data entry processes and reducing manual effort and saving over 500+ hours
Generated actionable insights on in-demand products and monthly spending trends by food category in Tableau, enabling data-driven procurement decisions