Sandhi Ton
About Sandhi Ton
Sandhi Ton serves as the Lead Data Analyst at MobilityWare since 2022, bringing extensive experience in data analytics and risk management. With a background in sociology and an Executive MBA, Ton specializes in machine learning and process automation to enhance clinical outcomes.
Work at MobilityWare
Sandhi Ton has served as the Lead Data Analyst at MobilityWare since 2022. In this role, he collaborates with various business units and vendors to enhance operational efficiency. His responsibilities include ensuring effective communication with clinical staff, including the Chief Medical Officer, to support data-driven decision-making. His expertise in data analytics contributes to the overall performance of the organization.
Previous Experience at BJ's Restaurants, Inc.
Prior to his current position, Sandhi Ton worked at BJ's Restaurants, Inc. as a Bartender Bookkeeper Supervisor from 2005 to 2012. During his seven-year tenure, he managed financial records and oversaw bookkeeping operations, which provided him with foundational skills in data management and operational oversight.
Education and Expertise
Sandhi Ton holds an Executive Master of Business Administration (EMBA) from the University of California, Irvine - The Paul Merage School of Business, which he completed from 2020 to 2022. He also earned a Bachelor of Arts in Sociology from the University of California, Riverside in 2008. His educational background supports his expertise in data analytics and business operations.
Experience at SCAN Health Plan
Sandhi Ton worked at SCAN Health Plan as Manager of Risk Management Analytics from 2011 to 2022. In this role, he specialized in applying machine learning techniques to improve clinical outcomes. He developed process automation for monitoring programs aimed at reducing various risks, including financial and clinical risks, and maintained a portfolio of reporting and predictive analytics.
Technical Skills and Specializations
Sandhi Ton possesses a comprehensive understanding of both front-end and back-end information systems. He specializes in utilizing open-source libraries for machine learning and feature engineering. His skills in data engineering and analytics enable him to enhance the functionality of data solutions, supporting better clinical outcomes through informed decision-making.