Looks like you have JavaScript disabled. For the full Twine experience, you will need to re-enable it.

Hi, I'm Sean Lee, a passionate data scientist with a strong background in biomedical engineering and data science. I've worked on developing AI-based systems that efficiently process clinical documents and create patient profiles, leveraging my skills in NLP and machine learning. I love tackling complex data challenges and transforming raw data into actionable insights. Throughout my career, I've had the opportunity to work in healthcare, manufacturing, and technology sectors, delivering impactful solutions such as anomaly detection models and predictive healthcare tools. I'm enthusiastic about combining data science with AI technologies to make a meaningful difference in people's lives.…Hi, I'm Sean Lee, a passionate data scientist with a strong background in biomedical engineering and data science. I've worked on developing AI-based systems that efficiently process clinical documents and create patient profiles, leveraging my skills in NLP and machine learning. I love tackling complex data challenges and transforming raw data into actionable insights. Throughout my career, I've had the opportunity to work in healthcare, manufacturing, and technology sectors, delivering impactful solutions such as anomaly detection models and predictive healthcare tools. I'm enthusiastic about combining data science with AI technologies to make a meaningful difference in people's lives.

Sean A. Lee

Data Scientist, AI Engineer, Developer, +2





Hi, I'm Sean Lee, a passionate data scientist with a strong background in biomedical engineering and data science. I've worked on developing AI-based systems that efficiently process clinical documents and create patient profiles, leveraging my skills in NLP and machine learning. I love tackling complex data challenges and transforming raw data into actionable insights. Throughout my career, I've had the opportunity to work in healthcare, manufacturing, and technology sectors, delivering impactful solutions such as anomaly detection models and predictive healthcare tools. I'm enthusiastic about combining data science with AI technologies to make a meaningful difference in people's lives.…Hi, I'm Sean Lee, a passionate data scientist with a strong background in biomedical engineering and data science. I've worked on developing AI-based systems that efficiently process clinical documents and create patient profiles, leveraging my skills in NLP and machine learning. I love tackling complex data challenges and transforming raw data into actionable insights. Throughout my career, I've had the opportunity to work in healthcare, manufacturing, and technology sectors, delivering impactful solutions such as anomaly detection models and predictive healthcare tools. I'm enthusiastic about combining data science with AI technologies to make a meaningful difference in people's lives.

Available to hire

Hi, I’m Sean Lee, a passionate data scientist with a strong background in biomedical engineering and data science. I’ve worked on developing AI-based systems that efficiently process clinical documents and create patient profiles, leveraging my skills in NLP and machine learning. I love tackling complex data challenges and transforming raw data into actionable insights.

Throughout my career, I’ve had the opportunity to work in healthcare, manufacturing, and technology sectors, delivering impactful solutions such as anomaly detection models and predictive healthcare tools. I’m enthusiastic about combining data science with AI technologies to make a meaningful difference in people’s lives.

Skills

Experience Level

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Work Experience

Data Scientist at Persistent Technology, Inc.

January 1, 2024 - Present

Produced an end-to-end AI-based system for the U.S. Veterans Affairs that scans clinical documents, summarizes, and creates patient profiles. Developed and implemented a PySpark project notebook workflow in Databricks, enhancing data processing efficiency and scalability. Developed models and data pipelines on Databricks using Apache Spark to create OCR and NER models, achieving a 50% reduction in processing time for medical documents. Integrated React TypeScript Tailwind CSS frontend, Flask backend, PySpark data pipelines, and HuggingFace transformer NLP models. Designed a Retrieval-Augmented Generation (RAG) system with Flask, S3, and Mongo/Postgres for chatbot-based interaction with medical documents.

Data Scientist Graduate Student at Georgia Tech

August 31, 2023 - July 20, 2025

Project managed and programmed a cybersecurity anomaly detection model using CUSUM and K-means achieving 81% detection accuracy. Conducted data cleaning, transformation, PCA dimensionality reduction, and optimal clustering. Designed a predictive model for healthcare to visualize at-risk patients for heart disease with 74% detection accuracy. Developed a robust brain tumor detection model from images with image transformation, noise removal, and linear and non-linear classifiers achieving a low 1% false negative rate.

R&D Engineer at Medtronic

December 31, 2021 - July 20, 2025

Conducted weekly root cause analyses and presented findings to project managers to secure stakeholder buy-in for manufacturing improvements. Investigated defective components and recommended manufacturing changes for clinical trial builds. Conducted design of experiments (DOE) and used ANOVA results to identify high-impact factors, restoring manufacturing line from full stop to 100% production multiple times.