Experience & Skills
Experience
Sr. Manager - Data Science
2022 – PresentHSAD America
Engineered a transformer-based multi-label classification model on LG.com user behavior data, analyzing intent for precise audience targeting for return visits. Achieved a 10% increase in website revisit rate.
Built an NLP pipeline that summarized 50K+ product reviews, using BERT, UMAP, HDBSCAN, and TF-IDF to extract high-signal product features and improve UX quality, leading to a 14% increase in user engagement.
Led psychological segmentation by mapping attitudinal survey data to 20M-customer CDP and deploying tailored marketing content; powered personalized campaigns that achieved a 2x lift in both CTR and CVR through email.
Streamlined call center operation by transcribing audio files using speech-to-text and building a fine-tuned LLM model to extract caller intent and root cause analysis, significantly improving resolution efficiency and agent response time.
Developed a Marketing Mix Modeling (MMM) tool by using Google's lightweight Bayesian framework to evaluate media channel effectiveness and optimize budget allocation, data-driven decisions that improved ROI by 15%.
Data Scientist
2019 – 2022Mars
Optimized factory production processes by solving a convex optimization problem using cvxpy and Gurobi, balancing scheduling, raw material availability, and sales forecasts, resulting in a 15% improvement in factory throughput.
Built a scalable time-series clustering algorithm using Dynamic Time Warping and ANN to group products by forecasted sales behavior, reducing forecast error by 22%, which improved the speed of inventory planning across key product lines.
Teaching Assistant
2019 – 2019NYC Data Science Academy
Specialization in Deep Learning and Big Data. Designed convolutional neural network, computer vision model for classifying people's age, gender, and race. Partnered with MotionFlow, a smart AIoT ad company, delivering inference under 0.5 seconds with over 92% accuracy.
Supply Chain S&OP/Forecast Analyst
2017 – 2019Samsung Electronics
Reduced daily backorder rates to under 2% by automating demand forecasting operation using VBA incorporating Holt-Winters. Designed delivery-date driven prioritization and improving forecast accuracy and speed in demand planning.
Education
Bachelor of Science in Mathematical Statistics
2012 – 2016University of Texas at Austin
Certificate in Machine Learning
2019 – 2019University of Washington
Certificate in Machine Learning
2019 – 2019Stanford University