Hsiao Chien Shih
About Hsiao Chien Shih
Hsiao Chien Shih is a Data Scientist with extensive experience in utilizing geospatial data and remotely sensed data for utility clients. He has held positions at San Diego State University and E Source, where he has contributed to significant cost savings and model accuracy improvements.
Current Role as Data Scientist
Hsiao Chien Shih currently serves as a Data Scientist at E Source, a position held since 2021. In this role, Shih focuses on enhancing model accuracy and developing innovative data solutions. One notable achievement includes improving model accuracy by 20% by extracting time series features for identifying tree growth and building age. Additionally, Shih has created graph datasets from geospatial data to analyze the upstream and downstream effects on utility assets.
Previous Experience at San Diego State University
Prior to joining E Source, Hsiao Chien Shih worked at San Diego State University from 2013 to 2020 as a Researching and Teaching Associate. Over the course of seven years, Shih contributed to both research and educational initiatives within the Greater San Diego Area. In 2020, Shih transitioned to the role of Adjunct Postdoctoral Scholar at the same institution, where they continue to engage in academic activities.
Educational Background in Geography
Hsiao Chien Shih has an extensive educational background in Geography. Shih studied at San Diego State University, where a Doctor of Philosophy (Ph.D.) was achieved from 2015 to 2020. Additionally, Shih pursued further studies at UC Santa Barbara, completing another Doctor of Philosophy (Ph.D.) in Geography during the same timeframe. This academic foundation supports Shih's expertise in data science and geospatial analysis.
Data Utilization and Cost Savings
In the course of their career, Hsiao Chien Shih has effectively utilized public and commercial remotely sensed data to achieve significant cost savings for utility clients. Notably, Shih's efforts resulted in a 30% reduction in costs, demonstrating a strong capability in applying data science to real-world utility challenges.
Innovations in Data Processing
Hsiao Chien Shih has developed end-to-end data processing pipelines that have significantly improved operational efficiency. These pipelines reduced data ETL (Extract, Transform, Load) time by 50% on cloud infrastructure, showcasing Shih's proficiency in optimizing data workflows and enhancing productivity in data management.