Open to opportunities

Eugene Ahn

@eugeneahn

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Data scientist and full-stack developer specializing in predictive modeling and applied ML for healthcare.

United States

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What I'm looking for

I seek roles applying ML and predictive analytics to real-world problems, ideally in collaborative teams that value reproducible research and product impact.

I am a data scientist and full-stack developer focused on predictive modeling, machine learning, and building production-ready web tools. I combine strong programming skills in Python, R, and JavaScript with hands-on experience applying statistical and deep learning methods to large clinical and survey datasets.

My research internships produced measurable outcomes: improved diabetes risk detection with logistic regression and MLP classifiers, and Alzheimer's risk stratification using DNNs, LSTMs, and Cox models on 200K+ longitudinal records. I translate model results into actionable insights, identifying key predictors and demonstrating how non-lab data can enable earlier screening and outreach.

I also build end-to-end products—developing a salary-prediction and player-efficiency analysis with ensemble models, and creating CollabTask, a full-stack scheduling and task-management app using Node.js, MongoDB, React/Vite, and Tailwind. I prioritize clarity, reproducibility, and user-centered design in all projects.

Experience

Work history, roles, and key accomplishments

Data Scientist

PlayerNeeded

Aug 2025 - Sep 2025 (1 month)

Built regression and ensemble models (Random Forest, XGBoost) to estimate baseball player salaries and benchmark $/WAR and position-adjusted salary ranges, providing insights on surplus value and roster efficiency.

Python Ridge Lasso Random Forest XGBoost

Undergraduate Research Intern

Seoul National University

Jun 2025 - Aug 2025 (2 months)

Processed 200K+ longitudinal clinical records and developed DNN and LSTM models and Cox proportional hazards analyses to stratify Alzheimer’s risk, achieving recall up to 0.98 and C-index 0.76 for onset prediction.

R Cox Proportional Hazards Class Reweighting data preprocessing

Full Stack Developer

CollabTask

Jun 2025 - Aug 2025 (2 months)

Designed and implemented a full-stack web app for university team scheduling and task management using Node.js/Express, MongoDB Atlas, and React/Vite, including an interactive timetable and real-time voting and task tracking features.

Node.Js React MongoDB Vite Figma REST APIs NodeJS

Research Assistant

Gachon University

Jun 2023 - Sep 2023 (3 months)

Developed and evaluated logistic regression and MLP models for diabetes risk prediction on CDC BRFSS2015, achieving up to 0.82 recall and identifying key predictors like blood pressure and health status to enable earlier outreach.

Python Logistic Regression MLP Pandas SeaBorn Model Evaluation Data Visualization

Education

Degrees, certifications, and relevant coursework

New York University

Bachelor of Science, Data Science

Grade: 3.667

Activities and societies: Presidental Honors Scholar; Dean's List; Likelion (Front-end Developer, Ideathon team); Mentor Me Collective; Grow with Google

Pursuing a Bachelor's in Data Science with coursework in intro to CS, data structures, and data management; recognized with Presidential Honors Scholar and Dean's List.