Portfolio
๐ Welcome
Hi, Iโm Junemo Moon โ a data science practitioner with a focus on building reproducible pipelines, interpretable models, and practical ML solutions.
This portfolio showcases selected projects in machine learning, NLP, and applied data analysis.
๐ง Programming Projects (Selected)
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๐ Boston Housing Price Model : Built regression models (Linear, Ridge, Random Forest) and used SHAP to interpret individual predictions.
Achieved Rยฒ of 0.89 using Random Forest. -
๐๏ธ Amazon Review Sentiment Classification : Developed a modular NLP pipeline using TF-IDF and balanced logistic regression on 500K+ Amazon reviews.
Focused on class imbalance handling and reproducibility. -
๐ณ Financial Fraud Detection : Applied Logistic, Random Forest, LightGBM models to credit card fraud detection.
Used cross-validation and SMOTE to improve recall on minority class.
๐งช Additional Data Projects
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๐ ESG Scoring Web App : Flask-based application that implements a rule-based ESG scoring logic using Kaggle datasets.
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๐ฌ Movie ROI Estimation : Regression modeling to predict box office ROI using budget, genre, and cast-based features.
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๐ข Titanic Classifier : Entry-level binary classification with structured preprocessing and feature selection.
๐งฉ Practice & EDA
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๐ LeetCode Practice : Regular algorithm problem solving to build fluency in data structures and logic.
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๐๏ธ SQL Practice : Ongoing query writing and SQL workflow improvement.