Resume

Gyeongdeok Seo - Data Analyst

✏️ EDUCATION

Yonsei University, South Korea

Major: Applied Statistics. Yonsei Blue Butterfly scholarship for full tuition 2016.03 - 2022.08

Georgia Institute of Technology

Major: Computer Science. Exchange student for 2021 fall semester 2021.08 - 2021.12

📚 Experience

NAVER FINANCIAL

Data Analyst 2022.10-

• Analyzed customer data to identify the factors contributing to churn and targeted specific group of customers
• Performed exploratory analysis to pinpoint churning group through decision tree model, resulting in identification and targeting of high-churn risk group
• Utilized time-series forecasting with Prophet model to predict business performance using decomposing trend, seasonality, and additional effects to reflect current business situation

CC&I research Co,. ltd

Working scholars in stat department 2017, 2020

• Demonstrated non-inferiority of client’s new device compared to original device through Wilcoxon signed rank test, non-parametric test for comparing endpoints in study
• Compiled clinical data tables based on statistical analysis results, allowing client to effectively showcase enhanced satisfaction of their deviceDM

YONSEI ESC(Expanded Statistical Club, accredited by Applied statistics in Yonsei Univ)

Academic Part [Probabilistic View of Machine Learning] 2020.03-2020.06

• Club President 2020.07-2020.12
• Academic Part [Deep Learning: Computer Vision and Natural Language Processing] 2020.07-2020.12
• Planning Part [Bayesian Statistics] 2021.03-2021.06

👨‍💻 PROJECT

2021 Data&Visual Analytic project in Georgia Tech

Project of developing data product for Atlanta police station 2021.09-2021.12

• Developed new police zones and recommended optimal staff compositions for Atlanta police station by grouping similar neighborhoods into 4 clusters, based on analysis of crime type, number of car crashes, and demographics data

2021 Predictive Modeling of Building's Fire in Gimhae, South Korea 

• Developed a predictive model for the likelihood of a fire occurring in a building using Bayesian regression
• 🥇 First Place in 2021 SPRING ESC Final Project

2020 Selecting optimal place for Hydrogen car station in Seoul

• Role: Preprocessing Data and Visualizing with R-shiny dashboard for interactive design

2020 NLP paper implementation

• Transformer Implementation using PyTorch for Neural Machine Translation (Korean to English)
• 🥇 First Place in 2020 FALL ESC Final Project

🏅 AWARDS AND HONORS

2021 Big contest innovation sector, business idea to revitalize economy in Gunsan

Best Excellence Award(최우수상), 2021.08-2021.11

• Diagnosed decline in card consumption in old downtown neighborhood of Gunsan
• Demonstrated potential demand for a meal kit store through frequency analysis of delivery history data, which identified top five selling categories
• Utilized time-series analysis to accurately predict foot traffic around identified location, supporting feasibility of business idea with 97% prediction accuracy

2021 parking demand prediction AI competition.

Excellence Award(우수상), 2021.06-2021.08

• Forecasted parking demand using Lasso Regression on polynomial data matrix, which demonstrated superior performance for small-sample problems compared to boosting method

2020 NH INVESTMENT & SECURITIES CO.,LTD. Profiling of Y&Z Investors

Winning prize(입선상), 2020.11-2021.02

• Conducted customer profiling and comparison using trade patterns and the Kaplan-Meier method to calculate attrition rate. Identify a group with a rapid increase in attrition rate over the course of six months through the use of the survival function

2020 Big contest: Predicting Winning Rates, AVG, and ERA by team in KBO(Korea Baseball Organization) regular season.

Advance to the finals(본선진출), 2020.07-2020.11

• Created an ensemble model combining regression and time forecasting techniques

🎯 SKILLS

PYTHON(Advanced level)

Web Data Crawling, Data Preprocessing, Data Analysis, Data Visualization, Code for machine learning algorithm from scratch.

R(Advanced level)

Data Preprocessing with tidyverse, Data Analysis, Data Visualization, Interactive Visualization with R Shiny, Statistical Calculation

Tableau, SQL, D3- javascript, Pyspark (Basic level)

🔗 Link & Contact

• YonseiESC: https://github.com/YonseiESC
• CC&I research: http://ccnires.com/
• mail: sgd3565@naver.com
• Instagram: duck__deok__