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Click here or scroll down to respond to this candidateCandidate's Name
PHONE NUMBER AVAILABLE EMAIL AVAILABLE LINKEDIN LINK AVAILABLE github.com/reasonmiiEducationGeorgia Institute of Technology Atlanta, GAMasters in Computer Science, specialized in Machine Learning Aug Street Address (Expected) May 2024 Sungkyunkwan University Seoul, KoreaBachelors in Library and Information Science, Journalism and Mass Communication Mar Street Address Feb 2018 National scholarship for 4 years, Honor scholarship of Junior year University of Washington Seattle, WABachelors in Informatics (Exchange) Sep Dec 2015 Full scholarship and stipend support as the first and only student from Sungkyunkwan University ExperienceGraduate Teaching Assistant Aug 2023 (Expected) May 2024 Georgia Institute of Technology, CSE 6242 Data and Visual Analytics Atlanta, GA Tutored graduate students in programming assignments and projects including D3, Python, SQL, etc. Data Scientist May Aug 2023Walmart Intern Bentonville, AR Built cross-validation LSTM/ARIMA models for time series forecasting and unsupervised anomaly detection on interactive voice response data; implemented in the real system Designed root cause analysis algorithm on IVR anomalies using association rules Developed rule-based named-entity recognition algorithm on scanned images of insurance card with various formats Data Analyst Jan 2018 Aug 2022LG Uplus Seoul, Korea Conducted multivariate analyses on 15M+ customers characteristics, behavior patterns, and seasonal issues and optimized campaign targets for churn customers (less than 1%); 14% decrease in churn rate (max) Developed ensemble classification models (Random Forest, XGBoost) to predict unsatisfied customers and fine-tuned an LSTM model on survey answers to identify the reason of dissatisfaction; 44% decrease in churn rate Delivered actionable insights on the churn rate to the marketing/policy/sales teams through a monthly CEO report to address the current situation and foster collaboration between teams when necessary Identified abnormalities and recognized patterns over time by enhancing and managing the daily churn trend report Created 5+ base tables for churn analysis, designed to facilitate daily use by other analysts; mobile/churn/device changed/family customer table Skills daily used: SQL, Python, RLG Uplus Intern Jan Dec 2017 Developed the idea of a personalized restaurant/cafe recommendation chatbot system Built the IoT service app for childcare with MIT App inventor, 3D printing, and Arduino Projects/ResearchColorize Historical Moments Pytorch (CNN, Autoencoders, Pix2Pix GANs, Chroma GANs) 2023 Built deep learning models to recognize the semantic colors of graycale images and colorize them Predict Toxicity in Wikipedia Comments Scikit-Learn, Tensorflow, JS, HTML/CSS 2022 Built supervised/unsupervised ML models; Logistic Regression, RNN, LSTM, BERT, GMM, DBScan, etc. Mitigate Bias towards Disability-related words in LM Scikit-Learn, Pytorch, NLTK 2022 Developed CNN-LSTM model to reduce toxicity scores for disability-related sentences Sentiment Analysis on Ukraine-Russia war Tweets D3, Tensorflow, JS, HTML/CSS, SQL, Spark 2022 Conducted sentiment/emotion analysis using RoBERTa and built an interactive web page to explore the results Technical SkillsLanguages: Python, SQL, R, JavaScript, HTML/CSS, Java Frameworks/Libraries: NumPy, Pandas, Matplotlib, Plotly, Seaborn, SciPy, Scikit-Learn, Keras, TensorFlow, Pytorch, NLTK, NetworkX, D3.jsSoftware: Git, VS Code, Spyder, PyCharm, Docker, AWS, GCP, Eclipse, Tableau, LATEX, Jira, Confluence Coursework: Machine Learning, Deep Learning, Natural Language, Computer Vision, Data and Visual Analytics, Health Informatics, Model and Simulation, Data Structure, C Language, System Programming, etc Certification: Google TensorFlow Developer, Advanced Data Analytics Professional, Big Data Analyst, SQL Developer, AWS Cloud Practitioner |
