Summary
Sophia Lim is a Lead Data Scientist with nine years of experience applying ML, optimization, and big-data engineering to high-impact commercial and policy problems across finance, logistics, telecom, and climate. Currently conducting research at BCG Henderson Institute and leading data science at BCG X, she has delivered production ML systems—pricing and negotiation recommenders, nationwide route optimization, and parcel prediction—saving clients millions and boosting operational accuracy from ~60% to 85%. Her background blends academic rigor (Columbia climate modeling) with hands-on engineering: deploying Hadoop platforms, integrating ML into OSS, and operationalizing anomaly detection and real-time alarms. She has built deep-learning recommender and NLP systems for financial products and VoC analysis, leveraging transformers and BERT for explainable personalization. Not obviously, her early work in urban transportation and energy-water-food optimization informs a systems-thinking approach that ties commercial objectives to broader societal and environmental trade-offs. Based in South Korea, she excels at translating complex models into scalable, decision-ready tools for enterprise use.
9 years of coding experience
9 years of employment as a software developer
Master's degree Earth and Environmental engineering -Climate change modeling, Master's degree Earth and Environmental engineering -Climate change modeling at Columbia University
Bachelor's Degree Civil and Environmental Engineering, Bachelor's Degree Civil and Environmental Engineering at Korea Advanced Institute of Science and Technology
Korean, English, Chinese, Spanish