Hi, I’m Seojin
I study Data Science and Cognitive Science at UC Berkeley
Projects
Chat CBT
A warm, Gen-Z-inspired chatbot that helps users challenge negative thoughts using structured CBT techniques.
COVID-19 Data Exploration
An interactive Tableau dashboard that visualizes global COVID-19 trends from Jan 2020 to Apr 2021. Built using SQL and Excel to clean and structure data from Our World in Data, highlighting regional patterns in infection and mortality.
Campaign Data and Electoral Outcomes in the U.S. Primaries
A data analysis project exploring how campaign fundraising and demographics shape U.S. primary election outcomes. Used IPW for causal inference and applied GLMs and nonparametric models to compare accuracy and interpretability.
Cat in the Box
A 3D modeling and animation project created in Autodesk Maya featuring a adorable hungry cat.
Certainty Detection in Scientific Abstracts
An ordinal regression classifier that predicts certainty levels in recent EarthArXiv abstracts related to environmental science. Labels texts as Exploratory, Hypothetical, Evidential, or Definitive based on the strength of scientific claims.
Lung Cancer Prediction
A machine learning model that predicts lung cancer using patient symptoms, demographics, and lifestyle factors from Kaggle data. Trained logistic regression and random forest models and used SHAP to select key features for early screening.