I’m a Data Scientist with experience across energy markets, regulatory analytics, and operational data systems. Currently pursuing an M.S. in Data Science at Seattle University, with a foundation in Physiology (Chemistry specialization) from the University of Washington. Experienced in building scalable data pipelines, predictive models, and dashboard systems that translate complex datasets into actionable business insights.
Professional Experience
Data Science Intern
The Energy Authority Inc | Bellevue, WA
September 2025 – Present
- Contribute to development of Stora, a solar and storage application supporting operational energy market bidding.
- Build and maintain data pipelines and analytical workflows for energy market reporting and asset optimization.
- Automate monthly client risk management reporting through R Shiny dashboards, reducing trader preparation time by 4+ hours per reporting cycle.
- Support data ingestion, market inputs integration, and application-level logic development for renewable energy assets.
Graduate Research Assistant
Seattle University | Seattle, WA
January 2025 – Present
- Developed an end-to-end machine learning pipeline for asthma health risk prediction in collaboration with Soonchunhyang University Medical Center.
- Implemented spatial transformation techniques to enable transfer learning using computer vision architectures.
- Designed and optimized ResNet50 and MobileNetV2 architectures, improving recall score by 20%.
- Leveraged TensorFlow and PyTorch across Jetstream2 and AWS EC2 for scalable training and evaluation.
Product Safety & Analytics Consultant
Hanwha Q Cells & Chemtopia Co., Ltd | Seoul, South Korea
August 2023 – August 2024
- Processed 250K+ chemical export records using Python and SQL to improve regulatory compliance accuracy by 15%.
- Identified 30+ data integrity issues in export logs, preventing $500K in potential supply chain losses.
- Designed and deployed 15+ analytics dashboards across 50 projects, reducing manual reporting workload by 40%.
- Collaborated with 10+ petrochemical clients to align compliance pipelines, reducing regulatory processing time by 20%.
Operations Data & Language Specialist
Republic of Korea Army, 7th Corps | Seoul, South Korea
October 2021 – April 2023
- Developed Excel logistics dashboard suite used across 3 brigades, reducing reporting time from 6 hours to 2.
- Analyzed 100K+ training simulation datapoints, improving readiness metrics by 30%.
- Supported 10+ joint U.S.–Korea missions as a bilingual data analyst, improving operational alignment.
Project Manager
Business Impact Group | University of Washington, Seattle, WA
March 2019 – March 2020
- Led 3 client operational analysis projects, increasing client ROI by 18%.
- Designed and executed A/B tests impacting 5K+ users, improving engagement by 5%.
- Streamlined sprint planning for 5-member team, increasing task completion rate by 30%.
Technical Skills
Machine Learning: Regression, Classification, Transfer Learning, TensorFlow, PyTorch
Programming: Python, R
Data Systems: PostgreSQL, MySQL, REST APIs
Cloud Platforms: AWS (S3, EC2), Jetstream2
Visualization & Reporting: R Shiny, Tableau, Excel Dashboards
Tools: Git, Jupyter, VSCode, Jira, Slack
Hi Sunghyun,
Well organized post! Your experience in data science is very impressive. Data science is definitely a growing field closely tied to machine learning and AI applications. It is important to be able to extract meaningful insights from the collected data to automate tasks and enable real-time analysis and decision making. I find it interesting that you studied physiology and later pursued a career in data science. How are these fields related if any? Do you find your foundation in physiology help in your current career?
I also just want to comment that the visuals that you built into your website homepage are very pretty and really highlight the beauty of your hometown. Great job!
Kim
Go dawgs 🙂
This looks solid man, proud of how far you have gone, I wish you all the success in the coming years.