Resume

Data Analyst

🎯 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, MCMC Sampling

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

✏️ EDUCATION

• Applied Statistics (Yonsei University, South Korea) 2016.03 - 2022.08

• Computer Science (Georgia Tech) 2021.08 - 2021.12

👨‍💻 PROJECT

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

• Prediction Modeling for fire in building based on Bayesian regression

• 🥇 First Place in 2021 SPRING ESC Final Project

Selecting optimal place for Hydrogen car station in Seoul 2020

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

NLP paper implementation 2020

• Transformer Implementation using PyTorch for Neural Machine Translation (Korean to English)

• 🥇 First Place in 2020 FALL ESC Final Project

🏅 AWARDS AND HONORS

Best Excellence Award(최우수상), 2021 Big contest innovation sector, business idea and PoC(Proof Of Concept) suggestion for revitalizing local economy based on digital economy.

• Diagnosed decline in card consumption of old downtown using payment data by neighborhood in Gunsan

• Suggested running meal kit store using market ingredients from old downtown

• Validated demand for meal kit store in Gunsan by identifying top five selling categories, which was done through frequency analysis of delivery history data

• Predicted foot traffic around identified location with time-series analysis to prove business idea, leading to 97 percentage prediction accuracy

• Period: 2021.08-2021.11

Excellence Award(우수상), 2021 parking demand prediction AI competition.

• Predicted parking demand based on Lasso Regression, which has better performance for small-sample problem than a boosting method.

• Period: 2021.06-2021.08

Winning prize(입선상), 2020 NH INVESTMENT & SECURITIES CO.,LTD. Profiling of Y&Z Investors

• Profiled customers according to trade pattern and compared customers by calculating attrition rate from estimating survival function of Kaplan-Meier method, which pinpointed the group showing rapid increase in attrition rate for half year

• Period: 2020.11-2021.02

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

• Made Ensemble modeling with regression and time forecasting model.

• Period: 2020.07-2020.11

📚 Experience

Researcher in Statistic team of CC&I research Co,. ltd 2017, 2020

• Proved non-inferiority and superiority of client's new device over original device

• Compared endpoints in study by executing normality test and non-parametric test

• Wrote clinical data tables by leveraging results from statistical analysis, enabling client to showcase better user satisfaction of their device than original device

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

🔗 Link & Contact

• YonseiESC: https://github.com/YonseiESC

• CC&I research: http://ccnires.com/

• mail: [e-mail]

• Instagram: duck__deok__