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Street Address -581-2102 EMAIL AVAILABLE https://LINKEDIN LINK AVAILABLE https://github.com/ChanJin0801 EDUCATIONColumbia University New York, NYM.S in Data Science Aug Street Address  - Dec 2024Courses: Machine Learning, Finance & Structuring, Computer System, Stat Inference, Data Analysis and Visualization St. Olaf College Northfield, MNB.A in Computer Science, Mathematics (Cumulative GPA: 3.8/4.0) Aug Street Address  - May 2023 Courses: Algorithms for Decision Making, Foundations of AI, Statistical Modeling, Probability Theory, Operating System Honors and Awards: Dean's List (Every Quarter)SKILLS Programming: Python, R Studio, C++, SQL, Pyspark Frameworks: Scikit-learn, XGBoost, CatBoost, TensorFlow, Keras, PyTorch, RLlib Technical Skills: Latex, Microsoft Office, Github, GitLab, Google Cloud Platform, Tableau Area: Applied Machine Learning, Statistical Modeling, Data Mining & Visualization, Finance & Structuring WORK EXPERIENCESamsung Electronics Gyeonggi, South KoreaData Scientist Intern in Device Solution Jun 2024 - Aug 2024 Generated synthetic defect data from over 4,200 numerical measurement inputs in NAND Flash Memory by applying a conformed algorithm using Bayesian-estimated distributions to address data imbalance Grouped inputs with similar distributions and applied PCA to reduce dimensionality from thousands of inputs to 50 key dimensions for more efficient model training Applied the Bayesian Additive Classification Tree (BACT) model to predict defect probabilities and quantify prediction uncertainty and achieved 96% accuracy and an 87% F1 score in defect detection St. Olaf College IT Department Northfield, MNIT Technologist Feb 2021 - May 2023 Troubleshoot 50+ software and hardware issues for campus devices and upgraded old classrooms into active-learning classrooms by installing and configuring operating systems on campus devices Howden Tiger (TigerRisk Partners LLC) Minneapolis, MN Quantitative Academic Researcher - WHP (Wildfire Hazard Potential) Jan 2022 - Feb 2022 Extracted US California map data by ArcGIS for geographical data analysis and visualization Predicted conditional probability of burns from selected burning spots in California by logistic regression with spline algorithm with wind direction as adjusted weights, accomplishing 75% accuracy for only burns and 77% overall accuracy Constructed an interactive R Shiny app to visualize anticipated burning areas, using three different colors to represent danger levels based on selected locations and wind direction as user inputs RESEARCH EXPERIENCEAmazon Book Recommendation System Jan 2024 - May 2024 Created a recommendation system for over 200,000 books deploying content-based filtering with TF-IDF, recommending books based on attributes such as title, author, and category Implemented collaborative filtering with a neural network model in PyTorch, accomplishing an 85% F1 score and RMSE of 1.05 for predicting user ratings Conducted sentiment analysis on reviews using models such as LSTM, Logistic Regression, Naive Bayes, and Random Forest, achieving up to 87% accuracy with Logistic Regression Enrollment Maximization Project Sep 2021 - May 2022 Managed datasets of 1 million application records by Excel and SQL, developing efficient application data pipelines helping St. Olaf College target prospective students through purchased database names Identified unexpected predictive variables, including a 15% application conversion rate from New Jersey and Virginia, through an interactive Tableau dashboard to target prospective students through purchased database names Validated impact of campus visits (7.53 odds ratio) and proximity (0.94 odds ratio) on application likelihood, offering valuable insights for strategic decision-making. Created a Random Forest model with 85% accuracy and an 81% F1 score to anticipate application probability, providing the Admissions Team quantifiable insights to optimize resource allocation for marketing efforts