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Ivan LeeIL
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Ivan Lee

@ivanlee

Data science leader at Coupang CPLB who cut invoice validation from 30–60 minutes to 30 seconds.

South Korea
Message

At Coupang CPLB, I developed a Python- and OCR-based process that validates invoices, packing lists, and certificates of origin, reducing manual processing time per shipment from approximately 30–60 minutes to 30 seconds. I also analyze demand, stockout-related sales losses, overstock risk, and vendor performance to support inventory planning.

At DMETA, I led AI engineers and data scientists across client-facing projects, from defining business problems through implementation. I led and contributed hands-on to a YOLO-based intelligent CCTV solution and oversaw KISA certification testing, which resulted in certification.

Across roles at Kiss Products, WAI, GP Bio, and others, I developed forecasting, customer segmentation, purchase propensity, and anomaly detection models. My background also includes actuarial and risk analysis at Chubb Korea and KPMG Actuarial Services, alongside hands-on work with Python, SQL, and data platforms.

Experience

Work history, roles, and key accomplishments

Coupang CPLB logoCC
Current

Principal – Business Intelligence, Private Label

Dec 2024 - Present (1 year 10 months)

Developed a Python- and OCR-based document validation process to cross-check invoices, packing lists, and certificates of origin, reducing manual processing time per shipment from approximately 30–60 minutes to 30 seconds. Analyzes seasonal demand, stockout-related sales losses, and overstock risk to support inventory planning and business decision-making.

DM

AI Team Lead

DMETA

Feb 2024 - Nov 2024 (9 months)

Led a team of AI engineers and data scientists across multiple AI/ML projects, providing technical direction and project leadership. Managed client-facing AI projects from business problem definition and solution design through development and implementation.

GB

Senior Data Scientist

GP Bio

Dec 2020 - Sep 2021 (9 months)

Developed and deployed a growth prediction model using body composition data from approximately 50,000 children. Developed and evaluated statistical, regression, and LSTM-based prediction approaches.

TT

Senior Data Scientist

TG360 Technologies

Dec 2019 - May 2020 (5 months)

Developed user-interest scoring models using large-scale behavioral and purchase data for digital advertising. Developed ID-pairing and lookalike models to improve audience targeting and marketing effectiveness.

Education

Degrees, certifications, and relevant coursework

University of Pittsburgh logoUP

University of Pittsburgh

Master of Data Science, Data Science

Pursuing a Master of Data Science with an expected graduation in 2027.

Rutgers, The State University of New Jersey logoRJ

Rutgers, The State University of New Jersey

Bachelor of Arts, Statistics

Earned a Bachelor of Arts in Statistics in October 2005.

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