Data Scientist, who mainly serves business executives, including CEO and has more than ten years of IT analytical skills, undertakes complex assignments, meets tight deadlines, and delivers remarkable performances.

Possesses practical knowledge in the food delivery industry, cosmetic industry, and analytical software Industry. Operates with a high sense of teamwork and thrives in a fast-paced setting.

☎️ Contact information

Email address: [email protected]

Personal Blog: https://bongholee.com

LinkedIn: https://www.linkedin.com/in/bongho/

👩🏻‍💻 Work experience

Time Estimation Service Team Lead

WoowaBros, Seoul, Korea – (June 2023 - Present)

Assembled a team consisting of Backend Engineers, Product Managers, Data Scientists, and Data Engineers. Our overarching goal was to establish an AI-centered Forecasting Platform, serving as the core product for Quick Commerce, which would provide integrated time predictions for all services while simultaneously addressing existing technical debt within the organization.

Data Science Team Lead

WoowaBros, Seoul, Korea – (May 2022 - May 2023)

Spearheaded AI projects in my role as a Data Science Team Leader, leveraging my technical expertise to chart the course. Additionally, I provided guidance and mentorship to team members, cultivating their development and driving tangible business outcomes.

• Modeling for Fraud Detection System(Role: TL)
  • Improved detection rate ( 15% → 80%) by using Semi-Supervised Model (1H23)
• Time Estimation Modeling for Food & Quick Commerce Delivery(Role: TL)
  • Achieved about 80% Delivery Compliance Rate(BMart)
  • Achieved about 47% Delivery Compliance Rate(Stacked Delivery)
• Modeling for Food Science(Role: TL)
  • Menu Text classification which can be used for time estimation service, recommendations, and ads.
    • Classification Accuracy 95.36%
    • Shortened estimated completion date from Apr 2024 → Nov 2023
  • Menu name Abusing Detection & Classification Project
    • Classification Accuracy: 99%
      • productivity per capita (2,500 → 7,749/day)
• Review Image Censoring Modeling(Role: PM)
  • Review Image Classification: Recall 98%
• Chatbot Modeling(Role: PM)
• MLOps Platform Implementation(Role: PM)
  • planned and designed for enterprise-level use
  • Expanded used services (7→9) and departments (2→3)
  • Shortened model development process (38→34 steps)
• Set up Jira & Wiki operation policy for the team
  • Reduced weekly business meeting time by 60%