Imyong Kim
Data Scientist
Ulsan,31
Summary
Data Scientist familiar with gathering, cleaning and organizing data for use by technical and non-technical personnel. Advanced understanding of statistical, algebraic and other analytical techniques. Highly organized, motivated and diligent with significant background in energy and steel making industry.
Meticulous Data Scientist accomplished in compiling, transforming and analyzing complex information through software. Expert in machine learning and large dataset management. Demonstrated success in identifying relationships and building solutions to business problems.
Overview
20
20
years of professional experience
4
4
Certifications
Work History
Data Scientist
Korea East-West Power
9 2017 - Current
[ICT Planning Department]
- Performing various data analysis project for power tech.
- Developing various ML models for power tech.
- Creating various dashboards for power tech.
- Designing DW/DM for analysis/visualization.
- Developing data analysis curriculum and teaching.
- Using Python, R, Tableau, SQL, Hadoop.
Consultant
Cornerstone Partners
10.2016 - 11.2016
- Performed TOP(Total Operational Performance) consulting program abroad.
Assistant Manager
Dongkuk Steel Mill
01.2010 - 09.2016
[Plate Technology Team, Jul 2015 ~ Sep 2016]
- Developed low cost chemical composition raw materials(slab).
- Developed controlled rolling method for productivity and quality.
- Confirmed customer MPS(Material Purchase Specification).
[Production Team, Jul 2014 ~ Jun 2015]
- Optimized controlled rolling method for productivity and flatness.
- Optimized raw materials design standard.
- Minimized raw materials inventory balance.
- Participated in JFE Steel Technical Association TFT.
- Managed MES production standard.
- Revised production documents with ISO system.
[Quality Control Team, Jan 2010 ~ Jun 2014]
- Controlled steel plate mechanical quality.
- Analyzed quality problems.
- Developed an estimation regression equation for mechanical properties.
- Optimized TMCP(Thermo Mechanical Control Process) cooling condition.
- Managed TPM(Total Productive Maintenance).
- Managed MES quality standard - Revised quality documents with ISO system.
Naval Officer
Republic of Korea, Navy
01.2005 - 03.2007
- Managed naval academy ICT system.
- Implemented process improvements for increased efficiency in daily operations and administrative tasks.
Education
Bachelor's degree - Industrial Engineering
Pusan National University
Busan, South Korea 01.2004 - 2010.04
Skills
Python Programming
Machine Learning
Statistical Analysis
SQL Databases
Big Data Analytics
Problem-Solving
Anomaly Detection
Feature Engineering
Websites
Certification
Engineer Big Data Analysis
Patents
- Prediction method of the yield stress at elevated temperature for the plate hot leveling
- Method of manufacturing thick plate having high tensile strength
Awards
- (Aug. 2023) Idea Award at EWP
- (Apr. 2022) Exemplary Award at EWP
- (Jan. 2023) Achievement Award at EWP
- (Jul. 2013) Achievement Award at Dongkuk
Languages
Korean
Native language
English (Limited Working)
Upper intermediate
B2
Publications
- (Jan. 2024) Practical SQL with PostgreSQL for Real-World Applications
- (Jun. 2022) Practical Data Analysis with Python for Real-World Applications
- (Aug. 2021) Practical Data Analysis with R for Real-World Applications
Accomplishments
[Development of a Nationwide Solar Power Generation Forecast Model, May. 2023 ~ Nov. 2023]
Developed a nationwide quantitative solar power generation forecast model for electricity load forecasting and preparation for future renewable energy bidding market.
Created various dashboard using above model.
[Participation in the Intelligent Digital Power Plant Platform, Government Research Project, Jan. 2022 ~ Jul. 2022]
Total Volume : $22.5 million
Participated in the project as a power plant data scientist from EWP.
Managed the big data & cloud platform construction and data linkage in power plants.
[Development of clinker growth prediction and monitoring system, Jan. 2021 ~ Nov. 2021]
Developed a deep learning model that can estimate clinker growth of coal power plants.
Created various dashboard using above models for fuel managing & operating engineers.
[Development of safety index management system, Jan. 2020 ~ Jun. 2021]
Developed an index that quantifies the risk of unit work.
Created various dashboard using above index for safety managing engineers.
[Recalculation of LNG power plant maximum generation output, Jun. 2019 ~ Nov. 2019]
Discovered areas that can be improved using EDA.
Developed a non-linear model for maximum generation output.
[Development of coal spontaneous combustion prediction index, Jan. 2019 ~ Jun. 2019]
Developed a coal spontaneous combustion prediction index for preventing fire accident.
Created various dashboard using above index for coal managing engineers.
Additional Information
I am a data scientist working at a large state-owned power company, and I have experience publishing three specialized books in the field of data science. Each book is about R, Python, and SQL, and they are available for purchase at any time from online bookstores in South Korea.
Timeline
Engineer Big Data Analysis
12-2021
General Data Science and SQL
09-2021
Neural Networks and Deep Learning
03-2020
Consultant
Cornerstone Partners
10.2016 - 11.2016
Assistant Manager
Dongkuk Steel Mill
01.2010 - 09.2016
Engineer Information Processing
08-2009
Naval Officer
Republic of Korea, Navy
01.2005 - 03.2007
Bachelor's degree - Industrial Engineering
Pusan National University
01.2004 - 2010.04
Data Scientist
Korea East-West Power
9 2017 - Current
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