Talk to sales Try for Free
이승훈

이승훈

bookmark on deepenrich
location of 이승훈South Korea
Phone number of 이승훈View Mobile No.
Followers of 이승훈71 followers

  • Timeline

  • About me

    Specialized in data analysis, with a focus on people & business data analytics

  • Education

    • Western university

      2018 - 2018
      Exchange student statistics

    • 고려대학교

      2020 - 2021
      Master of science - ms applied statistics

      Clustering, Dimension reduction, High dimensional

    • 고려대학교

      2014 - 2020
      학사 statistics & financial engineering

  • Experience

    • 파나막스

      Jul 2019 - Sept 2019
      Start up intern

      Wadiz crowd funding project- Planned a Wadiz crowdfunding story for personalized nutritional supplements related to individual needs in a startup environment.

    • Sas

      Jan 2020 - Feb 2020
      Intern

      Customer Advisory Division, Risk team- Conducted a project comparing the strengths of SAS Model Risk Management solutions (Banking and Insurance) with those of competitors and developed a selling strategy.

    • Hyundai motor company

      Jun 2020 - Aug 2020
      Intern

      CDO, Data Analysis- Data analysis for determining the optimal timing of raw material purchases (steel, copper, etc.).- Conducted data analysis and predictive modeling on changes in raw material prices for automobiles.

    • Samsung electronics

      Sept 2021 - now
      Professional

      People Analytics Lab, People team Ongoing Support:- Provide backup data for decision-making through the analysis of organizational and employee characteristics, as well as behavior patterns for the management.Job Recommendation Service:- Analyze people data for job recommendation services targeting entry-level candidates in the public recruitment process.- Design and implement job recommendation algorithms.Workforce Planning Research:- Model workforce statistics for each line by conducting a comprehensive analysis of facility data and people data.- Design dashboards to understand workforce status and history by line.Shuttle Bus Efficiency Enhancement:- Develop automatic calculation codes for internal shuttle bus usage to streamline understanding of the current situation.- Identify efficiency points for operation, including selecting routes for increase and integration.- Utilize geographical data to discover insights and propose new route candidates.Restaurant Operation Efficiency Enhancement:- Develop automation codes for big data related to meals to streamline understanding of meal status.- Build a meal dashboard for insights into operations.Support for Diagnostic Tool :- Build and analyze a career diagnosis survey database for entry education and existing employees.Text Data Analysis (Topic Modeling, Similarity Analysis, Word Clouds etc.) Show less

  • Licenses & Certifications

    • 빅데이터 분석기사

      한국데이터산업진흥원
      Dec 2024

    • Build basic generative adversarial networks (gans)

      Coursera
      Aug 2021
      View certificate certificate

    • Sw certificate professional

      삼성전자
      Oct 2023

    • Adsp

      한국데이터산업진흥원
      Apr 2019

    • Sqld

      한국데이터산업진흥원
      Sept 2024

  • Honors & Awards

    • Awarded to 이승훈
      Behavioral Data Analysis Competition(행동 데이터 분석 경진대회) (사)한국인공지능협회, DACON Apr 2020 2nd Place Winner- Task involved predicting victories in StarCraft games using approximately 40,000 game log data.- Conducted preprocessing, including parsing and feature engineering on log data.- Utilized gradient boosting models, Bayesian optimization, and ensemble models.
    • Awarded to 이승훈
      KCB Financial Style Visualization Competition(KCB 데이터를 통한 금융스타일 시각화 경진대회) KCB, DACON Jul 2019 2nd Place Winner- Task involved defining financial styles and proposing products using nationwide data on gender, age group, credit score, credit rating, card usage amount, loan amount, etc.- Conducted exploratory data analysis (EDA) and principal component analysis (PCA), clustering, and visualization.- Defined financial style types through clustering characteristics, proposing persona marketing strategies.