Arpita Shah
About Arpita Shah
Arpita Shah is a Logistics Analyst at Smiths Detection, where she has worked since 2018. She holds a Master's degree in Applied and Computational Mathematics and has extensive experience in logistics and data analysis.
Work at Smiths Detection
Arpita Shah has been employed at Smiths Detection as a Logistics Analyst since 2018. In this role, she focuses on optimizing logistics processes and managing data related to supply chain operations. Her experience in logistics analysis contributes to the efficiency and effectiveness of the company's operations.
Education and Expertise
Arpita Shah holds a Bachelor of Science in Applied and Computational Mathematics with a concentration in Economics, Finance, and Actuarial Science from San Jose State University, which she completed from 2010 to 2012. She furthered her education by obtaining a Master of Science degree from the same institution between 2013 and 2015. Her academic background provides a solid foundation for her analytical work in logistics.
Professional Background
Before joining Smiths Detection, Arpita Shah held various positions in logistics and customer service. She worked as a Global Logistics Analyst II at Polycom from 2017 to 2018 and as a Lead in World Wide Order Management Quality Assurance at the same company from 2014 to 2017. Additionally, she served as a Material Planner II at Fujitsu Computer Products of America, Inc. for five months in 2018 and as a Customer Service Representative at Bank of the West from 2013 to 2014.
Technical Skills
Arpita Shah possesses expertise in SQL and SAS Programming, which are critical for data analysis and logistics management. She is also proficient in Microsoft Access, Word, Excel, and PowerPoint, which enhances her ability to manage logistics data and create effective presentations. Her strong analytic and problem-solving skills support her in addressing complex logistical challenges.