Data Science · Modern AI
Eric Jin
Data scientist focused on integrating modern AI into real-world systems. I build end-to-end pipelines — from predictive models and LLM applications to scalable data infrastructure — turning complex problems into deployable solutions.
Notable Work
Applied data science and AI projects.
ML model that targets the top 10% of users responsible for 95% of conversions
94.3% accuracy NLP pipeline classifying 568K+ Amazon product reviews
LDA topic model linking hotel review themes to guest satisfaction ratings
Rigorous statistical analysis of 290K users across hypothesis testing, simulation, and logistic regression
LLM-powered Q&A over Uber, Lyft, and United 10-K filings using FAISS and GPT-4o
Python framework classifying 1,000+ SKUs by value and demand variability to cut stockouts by 8%
Experience
Where I've worked.
Aug 2024 — Present
Data Analyst @ Stanley Black & Decker
Jun 2024
Data Science Intern @ Cooper | B2B SaaS
2023
Business Intelligence Analyst Intern @ Thermo Fisher Scientific
2022 — 2023
Financial Research Assistant @ Washington University in St. Louis — Dept. of Finance
Beyond Work
What keeps me sharp outside the office.
- Professionally trained badminton player since childhood
- Swam and wrestled through high school
- Currently play tennis and boulder
- Avid reader of history — ancient through modern
- Follow economics, geopolitics, and macro policy closely
- Think seriously about markets and capital allocation
- Genuinely excited by technological progress, especially AI
- Interested in how technology reshapes industries and institutions
- Drawn to the intersection of data, automation, and decision-making
Ask About Me
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Get in touch
I'm currently open to new opportunities. Whether you have a question, a project idea, or just want to say hi — my inbox is open.
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