Summary
Kim Chen is a data scientist with 10 years' experience specializing in building data products that translate real-world supply-demand dynamics into actionable features, such as surge pricing and driver heat maps for mobility services. With a master's in statistics and strong hands-on skills in R, Python, MATLAB, BigQuery and Looker/Tableau, Kim designs end-to-end pipelines from indicator definition and data integration to effectiveness testing and visualization. At LINE TAXI and LINE GO they deployed LSTM-based demand forecasting, clustering for market segmentation, and a prize-winning life-matching model, demonstrating both technical depth and product impact. Based in Tainan, Kim combines academic rigor with practical experimentation—often bridging operational metrics and driver behavior—to optimize pricing and matching in real time.
10 years of coding experience
2 years of employment as a software developer
Master's degree, Statistics, Master's degree, Statistics at 國立臺北大學NATIONAL TAIPEI UNIVERSITY
Bachelor's degree, Statistics, Bachelor's degree, Statistics at Fu Jen Catholic University