Summary
Kyungtaek Lee is a Solution Engineer with nine years of experience applying applied mathematics and data science to business and research problems across enterprise technology, marketing analytics, and biomedical labs. He has delivered SAP CAR and digital transformation work at EY for clients like LG and Samsung, led data-driven marketing campaigns using clustering and Markov models, and increased campaign KPIs by over 150%. At Salesforce he combines technical consulting with product-focused solution design, leveraging hands-on skills in statistical modeling, machine learning, and data engineering developed in roles from university research to system development. His background includes building decision-tree and random-forest classifiers for admissions analysis and improving NLP-driven review taxonomy accuracy from 65% to 82% for CX platforms. Comfortable translating complex analytics into implementation plans, he’s equally at home prototyping ML insights and orchestrating post-merger operational design via design thinking. Based in Seoul, he brings a rare mix of lab-level experimental rigor and enterprise delivery experience that helps bridge research, product, and business outcomes.
9 years of coding experience
Bachelor's degree, Applied Mathematics, Bachelor's degree, Applied Mathematics at University of Rochester