Yuna Lee

404-***-**** ad099o@r.postjobfree.com linkedin.com/in/yunalee17/ github.com/reasonmii

Education

Georgia Institute of Technology Atlanta, GA

Master’s in Computer Science, specialized in Machine Learning Aug 2022 – (Expected) May 2024 Sungkyunkwan University Seoul, Korea

Bachelor’s in Library and Information Science, Journalism and Mass Communication Mar 2013 – Feb 2018

• National scholarship for 4 years, Honor scholarship of Junior year University of Washington Seattle, WA

Bachelor’s in Informatics (Exchange) Sep – Dec 2015

• Full scholarship and stipend support as the first and only student from Sungkyunkwan University Experience

Graduate 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 2023

Walmart 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 2022

LG 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, R

LG 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/Research

Colorize 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 Skills

Languages: Python, SQL, R, JavaScript, HTML/CSS, Java Frameworks/Libraries: NumPy, Pandas, Matplotlib, Plotly, Seaborn, SciPy, Scikit-Learn, Keras, TensorFlow, Pytorch, NLTK, NetworkX, D3.js

Software: 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

Contact this candidate