Hyeong-wook Kim

1) Development and Operation of In-house Data Platform (Dec 2023 – Aug 2025)
[Responsibilities]

• Managed and monitored real-time data collected from manufacturing equipment
• Developed Python APIs and Grafana dashboards for data monitoring and analysis
• Deployed and operated Docker-based applications in a Linux (Ubuntu) environment

[Achievements]

• Supported data-driven decision-making for process engineers

[Skills]

• Linux(Ubuntu), InfluxDB, MariaDB, Python, Grafana, Docker

2) Development and Enhancement of Semiconductor Equipment Health Index (Dec 2023 – Aug 2025)
[Responsibilities]

• Structured equipment into four hierarchical layers and developed a quantitative Health Index to objectively evaluate equipment condition
• Developed an Python API to calculate a weighted Health Index based on the variation in previous Health Index
• Developed Grafana dashboards that provide trend charts for root cause analysis of equipment anomalies

[Achievements]

• Supported TTTM (Tool-to-Tool Matching) activities by reducing discrepancies between equipment and ensuring consistent performance
• Introduced a new quality assessment metric system, improving the objectivity of equipment abnormality evaluation
• Enabled faster and efficient diagnosis and analysis of defect causes

[Skills]

• InfluxDB, MariaDB, Python, Grafana, Docker

3) Development of an Extruder Data Monitoring System (Jun 2024 – Sep 2024)
[Responsibilities]

• Developed a Python plugin to collect data from extruders and store data into InfluxDB
• Developed a Python API to trigger alarms based on user-defined specifications

[Achievements]

• Enabled real-time monitoring of sensors deviating from configured specifications and allowed trend analysis for each sensor over a defined period

[Skills]

• InfluxDB, MariaDB, Python, Grafana

1) Admission Data Collection, Transformation, and Loading (Aug 2022 – Oct 2023)
[Responsibilities]

• Downloaded competition rates and results of early and regular admission from universities and other admission portals, processed those data into analysis ready format and loaded them into the database
• Automated workflow of admission data collection and preprocessing with Python instead of Excel

[Achievements]

• Improved team efficiency by automating inefficient workflows through Python scripts

[Skills]

• Python, MS-SQL, Excel

2) Development of Prediction Model for Early and Regular Admission (Oct 2022 – Nov 2023)
[Responsibilities]

• Formulated and tested many kind of hypotheses using various admission data and application data collected in-house
• Identified significant variables from analysis results and developed a linear regression model for predicting early admission grade cutoffs, as well as a linear regression model for predicting regular admission enrollment fill rates

[Achievements]

• Achieved approximately 89% accuracy with the regular admission fill rate prediction model, contributing to increased revenue for the regular admission prediction service

[Skills]

• Python, MS-SQL, Excel

1) Equipment Data Collection, Transformation, and Loading (Jun 2021 – May 2022)
[Responsibilities]

• Converted SAS-based scripts for data collection, processing, and loading into Python
• Developed Python scripts to execute the entire process from equipment data collection to transformation and loading

[Achievements]

• Saved approximately 100 million KRW annually by eliminating SAS license costs
• Reduced total code execution time by about 40% by optimizing inefficient logic

[Skills]

• Python, MS-SQL, SAS

2) Development of e-Learning Page (Apr 2022 – May 2022)
[Responsibilities]

• Developed an internal webpage for accessing educational videos and materials conducted within the company

[Achievements]

• Enabled employees to find and reference training materials more quickly and easily

[Skills]

• Python, HTML, CSS, JavaScript, MS-SQL

3) Development of Process Capability Analysis and Visualization Feature for Equipment Data (Jan 2022 – Mar 2022)
[Responsibilities]

• Conducted process capability analysis with equipment data based on Statistical Process Control (SPC) methodology
• Developed a feature to visualize and provide analysis results

[Achievements]

• Supported data-driven decision-making to process engineers by providing various process capability metrics such as control charts, Cp, and Cpk

[Skills]

• Python, HTML, CSS, JavaScript, MS-SQL

4) Development of Yield Management Feature through Equipment Data Visualization (Nov 2021 – Jan 2022)
[Responsibilities]

• Developed a feature to display yield rates for equipment across each process, enabling identification of processes and equipment with declining yields

[Achievements]

• Allowed process engineers to quickly identify low-yield processes and take prompt corrective actions

[Skills]

• Python, HTML, CSS, JavaScript, MS-SQL

5) Development of Wafer Map Merge Feature (Sep 2021 – Nov 2021)
[Responsibilities]

• Developed a feature that merges wafer maps from multiple uploaded text files containing wafer map data, visualizes the merged results and exports them to Excel via parsing

[Achievements]

• Enabled process engineers to visually identify defect-prone areas on wafers at a glance, improving workflow efficiency

[Skills]

• Python, HTML, CSS, JavaScript, MS-SQL

6) Python Basics Training for Researchers (Sep 2021 – Sep 2021)
[Responsibilities]

• Delivered training on Python fundamentals and key libraries for data analysis and visualization to researchers in the semiconductor R&D center

[Achievements]

• Empowered researchers to perform their own analysis and get results using Python

[Skills]

• Python