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