I'm an IT Planner and Data Analytics Specialist with a passion for leveraging data to solve complex problems and optimize business processes. With a strong background in software and industrial engineering, I excel in digital transformation, automation, and process optimization, bringing a unique perspective to every project.
- π Master of Engineering in Computer Software Engineering, Yonsei University, Seoul (March 2023 ~ Present)
- π Bachelor of Engineering in Industrial and Information Technology Engineering, Soongsil University, Seoul (March 2017 ~ Feb 2022)
- π¬ Former Research Intern at the Computer Science and Artificial Intelligence Laboratory in Dept. of Mechanical Engineering, Soongsil University (CS-AI Lab)
- π» Programming: Python, SQL, R
- π Data Visualization: Tableau, Power BI, Adobe Analytics
- π€ Machine Learning: NLP, Predictive Modeling, GCNs
- ποΈ Database Management: Snowflake, Databricks
- π Digital Transformation: Leading initiatives in IT modernization and digital strategy implementation
- π§ Automation & Optimization: Power Automate, Shell Scripting, and process improvement for enhanced efficiency
- π Project Management: Agile, JIRA, Confluence
May 2022 - Jul 2022 | Tools: Python, SQL, Tableau
A data-driven project aimed at reducing food waste in e-commerce through optimized inventory management, presented at Tableau DataFest Seoul/Korea 2022.
- π¦ Developed inventory distribution strategies based on data analysis of perishable goods.
- π Designed Tableau dashboards to monitor key performance indicators like Waste Rate and GMV.
Jan 2021 - Jan 2022 | Tools: TransferTransfo, DialoGPT, Kakao i Open Builder**
Developed during my time as Head President of ToBigβs, this project involved creating a conversational chatbot with the persona of movie characters.
- π Implemented TransferTransfo and DialoGPT to develop the chatbot.
- π¬ Released the chatbot through Kakao i Open Builder, providing users with an interactive and engaging experience.
Aug 2021 - Dec 2021 | Tools: Python, FastText, Tableau, NLP
A dynamic dashboard created to help job seekers align their skills with current hiring trends, leveraging data from major job platforms.
- π Implemented NLP techniques for keyword extraction and resume-based job recommendations.
- π§ Developed a FastText-based model for personalized company and position recommendations.
May 2021 - Dec 2021 | Tools: Python, R, Tableau
This award-winning project introduced a new "barrel" metric for evaluating player performance in baseball, recognized at the 2021 Big Contest.
- π Defined a new "barrel" metric suitable for the KBO league.
- π― Developed a predictive model to estimate batter's OPS based on the defined barrel.
Jul 2020 - Jul 2021 | Tools: Python, Machine Learning
Conducted research on solubility prediction models using machine learning during an internship, contributing to published work in ACS Omega.
- π¬ Implemented surrogate model-based methods for solubility prediction.
- π§ͺ Explored molecular fingerprint and GCN-based approaches for chemical compound analysis.
- π Data Analytics & Machine Learning
- π Digital Transformation & Automation
- π§ IT Process Optimization
- π± Sustainability & Efficiency
- βΎ Sports Data Analysis
- π₯ Grand Prize - 2021 Big Contest (Data Science)
- π Excellence Award - 2021 Forest Big Data Utilization Analysis Contest
- π₯ First Prize - 2021 IP R&D Big Data Competition
Thanks for visiting my profile! Feel free to explore my work and reach out for collaboration or discussion.