Eumhwa Kim
Seoul,11
Summary
With over 6 years of experience as a Data Scientist/AI Engineer, I have a strong passion for developing AI/ML-based applications. Throughout my career, I have leveraged my problem-solving skills to analyze various data types, including images, tabular data, and time series data, and applied appropriate ML/DL methods to solve business problems. Additionally, I have honed my engineering skills through the development of REST APIs and Docker-based systems.
Overview
5
5
years of professional experience
1
1
Certification
Work History
Data Scientist
LG Energy Solution
08.2023 - Current
- Developed and implemented advanced demand forecasting models utilizing advanced statistical techniques and machine learning algorithms, achieving a 90% forecast accuracy.
- Constructed time series foundation models to accurately predict electric vehicle sales.
- Built interactive dashboards on AWS to visualize and monitor demand forecasts and electric vehicle sales data.
- Developed a prototype furniture recommendation system using GCP services such as Vertex AI(gemini, multimodal embedding model, object detection), AlloyDB(pgvector), and GCE during a Google GenAI hackathon.
Data Scientist
HANA TI - Hana Institute of Technology
05.2022 - 08.2023
- Developed a predictive model for anti-money laundering (AML) risk assessment using bank transaction data and interpreted model results using xAI, improving AUROC by 3%p compared to previous models. The model was subsequently deployed into the AML system.
- Developed a low-code AutoML solution to identify optimal targets for bank marketing campaigns.
- Conducted research on causal inference and applied CausalML to measure the impact of marketing campaigns on customer retention.
AI Engineer
LG Electronics Inc
07.2019 - 05.2022
- Developed a vision inspection platform as a web application using Docker and Kubernetes.
- Developed APIs using the FastAPI framework and Vision AI algorithms for classification, anomaly detection, and object detection and deployed them to the vision inspection platform.
- Developed an image-based defect analysis using algorithms such as ViT, PaDiM and prediction service for piston coating processes in internal combustion engines.
- Utilized GANs to augment image data for backlight bleeding defects and built a predictive model.
Education
Master of Science - Statistics
Inha University
Incheon, South Korea08.2019
Bachelor of Science - Statistics
Inha University
Incheon, South Korea02.2017
Skills
- Python Programming
- SQL Databases
- Machine Learning
- Statistical Analysis
- Neural Networks
- Problem-Solving
- Team Collaboration
Certification
AWS Certified Solutions Architect Associate.
Timeline
Data Scientist
LG Energy Solution
08.2023 - Current
Data Scientist
HANA TI - Hana Institute of Technology
05.2022 - 08.2023
AI Engineer
LG Electronics Inc
07.2019 - 05.2022
Master of Science - Statistics
Inha University
Bachelor of Science - Statistics
Inha University
AWS Certified Solutions Architect Associate.
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