Resume

Experience & Skills

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Experience

Sr. Manager - Data Science

2022 Present

HSAD 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 2022

Mars

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 2019

NYC 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 2019

Samsung 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 2016

University of Texas at Austin

Certificate in Machine Learning

2019 2019

University of Washington

Certificate in Machine Learning

2019 2019

Stanford University

Skills

Languages

PythonSQLR

Frameworks & Tools

PyTorchTensorFlowScikit-learnTransformersPySparkFastAPIVector DBsAirflowMLflowDockerKubernetes

Cloud

GCP (Vertex AI, BigQuery)Azure (Azure ML, Databricks)

Domain & Concepts

Data ScienceMachine LearningDeep LearningAINLPRAG

Projects