이건표 Gyunpyo Lee

Data Scientist

+82.10.4482.2730 | gyunpyolee@gmail.com | linkedin.com/in/gple2/

Professional Summary

Data scientist with expertise in AI-driven customer analytics, predictive modeling, and synthetic data generation. Experience in consumer electronics, automotive design, and industrial AI, specializing in large-scale data processing, machine learning model development, and data-driven UX research. Passionate about leveraging AI to optimize business strategies and enhance user experiences.

Experience

Data Scientist

LG Electronics

CX Center, Seoul, South Korea

Nov 2022 - Present

  • Developed data-driven business insights from large-scale customer surveys.
  • Analyzed 20,000+ respondents' data across South Korea, the U.S., and Vietnam, covering 2,500+ variables.
  • Structured survey data into a JSON-based non-relational database for scalable business intelligence.
  • Built customer segmentation and purchase prediction models.
  • Developed an RFM-based clustering model and applied Random Forest & LightGBM, achieving 83% accuracy in purchase predictions.
  • Provided customer behavior insights for targeted marketing strategies.
  • Created AI models for life-event forecasting.
  • Built Sequential AI models with 87% accuracy in predicting life events (education, job changes, relocations).
  • Delivered data-driven insights for customer experience research strategy.
  • Analyzed real-time sales data from 3 retail stores in Seoul to evaluate marketing effectiveness.

AI Consultant

Code V

Seoul, South Korea

Mar 2022 - Dec 2023

  • Developed AI-powered seafood classification models.
  • Automated defect detection for three seafood categories (fishcake, seaweed, oysters).
  • Achieved 98% precision and an mAP 50 score of 87% across all categories.
  • Addressed long-tail problem in food classification.
  • Designed custom augmentation strategies to improve accuracy in rare defect patterns.
  • Optimized spectral data pipelines for AI inference.
  • Preprocessed spectral datasets for custom ANN models, ensuring seamless model integration.

Chief Product Officer

Dream2Real

Daejeon, South Korea

Jul 2022 - Oct 2022

  • Led the development of synthetic data generation pipelines and oversee on AI data structuring & 3D dataset validation.
  • Focused on data-scarce industries (e.g., MTMC tracking, manufacturing) to enable AI model training with synthetic data 3D modeling.
  • Developed digital twin environments using Unreal Engine & Blender to generate synthetic datasets.

Design Researcher

KAIST

Daejeon, South Korea

Sep 2020 - Aug 2022

  • Kia Design Center | PBV Vehicle Active Lighting Research
  • Designed PBV vehicle interior lighting content and scenario boards.
  • Conducted VR-based lighting UX tests for immersive experiences.
  • Developed projection lighting scenarios & validated user feedback.
  • Interviewed Kia designers to create lighting scenarios aligned with 'Opposite United' philosophy.

  • LS Automotive | Affective Lighting Research
  • Designed user-driven automotive emotional lighting scenarios.
  • Conducted EEG-based biometric testing for affective lighting validation.

  • KAIST | Infection Control Hospital UX Research
  • Designed visual information and wayfinding solutions for infectious disease hospitals.
  • Contributed to the development of design guidelines and real-world testing.

Exterior Designer

Changan European Design Center

Turin, Italy

Feb 2016 - Dec 2019

  • Key designer in Changan's first platform-based vehicle (UNI-V).
  • Led exterior design refinement & communication between CAD and CLAY modeling teams.
  • Developed facelift models for production sedans (C301 / C201).
  • Designed Eado XT (C211) concept sketches featured in Auto & Design 2018 cover.
  • Contributed to Jiliu Concept (Shanghai Auto Show 2017) exterior design.
  • Provided concept design ideas for Yuyue Concept (Shanghai Auto Show 2017).
  • Contributed to Changan's branding, platform-based vehicle concepts, and future UX design.

Education

Master of Science (MS) in Industrial Design

Korea Advanced Institute of Science and Technology (KAIST)

Daejeon, South Korea

Aug 2020 - Aug 2022

Bachelor of Fine Arts (BFA) in Transportation Design

College for Creative Studies

Detroit, USA

Sep 2011 - May 2015

Skills & Languages

Skills

  • Machine Learning & AI: Python, PyTorch, TensorFlow, Scikit-Learn, OpenCV
  • Data Science & Analytics: SQL, Pandas, NumPy, Tableau, ggplot, seaborn
  • Computer Vision & Spectral Analysis: ANN models, Spectral Data Preprocessing, mAP Metrics
  • Automotive & Industrial Design: Adobe Photoshop, Illustrator, Autodesk Alias, Blender, Keyshot

Languages

  • Korean: Native
  • English: Bilingual
  • Italian: Conversational

Publications

  • GP22: A Car Styling Dataset for Automotive Designers
    G Lee, T Kim, HJ Suk
    Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, Jun 2022, pp. 2268-2272
  • Is Blue still a Representative for Future Vehicles?
    G Lee, T Kim, HJ Suk
    Proceedings of the International Colour Association (AIC) Conference 2021, Milan, Italy, Sep 2021
  • Variability in Color tone along the Brightness Segments of the Movie Scenes
    G Lee, Hyeon-Jeong Suk
    2021 Korean Society of Color Studies (KSCS) Fall Academic Presentation, Seoul, South Korea, Dec 2021
  • Sketching in-vehicle ambient lighting in virtual reality with the Wizard-of-Oz method
    T Kim, A Shunayeva, G Lee, HJ Suk
    Digital Creativity 33 (1), 49-63, 2022
  • User responses to dynamic light in automobiles with EEG and self-assessments
    T Kim, G Lee, M Park, HM Lee, JW Park, HJ Suk
    IEEE Access 10, 123847-123857, 2022
  • Hi, kia: A speech emotion recognition dataset for wake-up words
    T Kim, SH Doh, G Lee, H Jeon, J Nam, HJ Suk
    2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), 2022
  • Affective Role of the Future Autonomous Vehicle Interior
    T Kim, G Lee, J Hong, HJ Suk
    Adjunct Proceedings of the 15th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUl), 2023
  • A Color-Material Network of Chairs through Materials and Colors
    B Kim, G Lee, HJ Suk
    Archives of Design Research 36 (1), 7-19, 2023
  • Image board for Car Ambient Lighting Design
    T Kim, Gyunpyo Lee, Hyung-Seok Jun, Hyeon-Jeong Suk
    Proceedings KSDS, Nov 2021, p. 160-161
  • Drivers' Emotional Responses to Dynamics of Vehicle Interior Lighting
    T Kim, Gyunpyo Lee, Minjung Park, Hyeon-Jeong Suk
    Proceedings of HCI Korea 2022, Feb 2022, p. 254-257
  • Voice Assistance Feedback Lighting in Vehicle
    T Kim, Byeongjin Kim, Gyunpyo Lee, Hyeon-Jeong Suk
    Proceedings of HCI Korea 2022, Feb 2022, p. 205-208

Honors & Awards

  • Best Paper Award, HCI Korea 2022
  • Finalist, Ferrari Top Design School Challenge