Gangil Seo
Data Scientist, Analyst & Consultant
Seoul,Gwanak Gu
Summary
Accomplished Data Analyst with a proven track record at KRAFTON, enhancing product performance and user experience through expert data analysis and machine learning. Skilled in Python and Tableau, excel in transforming complex data into actionable insights. Detail-focused Data Analyst with knowledge in data warehousing, process validation and business needs analysis. Proven to understand customer requirements and translate into actionable project plans. Dedicated and hard-working with passion for Big Data.
Overview
5
5
years of professional experience
2
2
Languages
Work History
Data Analyst - New Service Analytics
KRAFTON
Seoul
03.2023 - Current
- Conducted data analysis and created Tableau dashboards for product Defense Derby .
- Developed system to monitor suspicious cheat activities and incorrect matches.
- Analyzed in-game data to ensure matchmaking logic functioned as intended by developers, and developed visualization dashboards to maintain this system.
- Analyzed changes in in-game balance due to updates and their impact on user play patterns.
- Monitored performance of deep learning AI used in-game and analyzed in-game status of users who experienced this AI.
Data Analyst
Begas
Seoul
5 2020 - 02.2023
- Improved the quality of AI ship maintenance prediction models through data imputation, enhancing predictive accuracy for the Ministry of National Defense .
- Developed an advanced Similar Image Compression Algorithm utilizing cutting-edge image compression technology for LG ENS, resulting in over 80% memory savings..
- Analyzed user activity data with SQL to support a UI/UX reorganization, visualized A/B test results with Tableau , and successfully increased active user engagement for Naver LINE .
- Created an AI model using TensorFlow for future market predictions, along with an ensemble result correction algorithm, achieving an average model precision of approximately 70% across diverse market types in live tests for Woori Bank .
- Conducted comprehensive Proof of Concept (PoC) evaluations for data quality and business reviews, contributing to the development of AI models for local companies in Chungcheongbuk-do.
- Extracted digital fingerprints using vision image feature points with OpenCV and Python, and developed algorithms achieving a 92% accuracy rate for Amore Pacific.
Graduated Research Assistant
Seoul National University
Seoul
03.2019 - 04.2020
- Seoul National University BK-Frontier Physics Division
- Near-field cosmology using stellar population
- Study on evolution of merged galaxy using star clusters
- Using python analyze astronomical data and make physical model.
- Established paper on ApJ - Tracing Dark Matter Halos with Satellite Kinematics and the Central Stellar Velocity Dispersion of Galaxies (https://arxiv.org/pdf/2010.00693.pdf).
Education
Master of Science - Astronomy
Seoul National University
Gwanak-gu, Seoul, South Korea 09.2017 - 2019.02
Bachelor of Science - Astronomy & Space Science
Kyung Hee University
Giheung-gu, Yongin-si, Gyeonggi-do, South Korea 03.2013 - 2017.02
Skills
Python
SQL
Tableau
Data Analysis
Machine Learning
Apache Spark
Statistics
Physics
Hobby
- One of the organizers of the Korean Ultimate Frisbee Club team, Hurry Disc, the fastest-growing team in Korea, demonstrating leadership and teamwork skills both on and off the field.
Timeline
Data Analyst - New Service Analytics
KRAFTON
03.2023 - Current
Graduated Research Assistant
Seoul National University
03.2019 - 04.2020
Master of Science - Astronomy
Seoul National University
09.2017 - 2019.02
Bachelor of Science - Astronomy & Space Science
Kyung Hee University
03.2013 - 2017.02
Data Analyst
Begas
5 2020 - 02.2023
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