Bhanu Potluri
About Bhanu Potluri
Bhanu Potluri is a Staff Data Scientist at Flexport and a Senior Operations Research Scientist at Shopify, with extensive experience in logistics and optimization.
Current Positions
Bhanu Potluri holds the position of Staff Data Scientist at Flexport in the San Francisco Bay Area. In addition, Bhanu is also serving as a Senior Operations Research Scientist at Shopify. His dual roles at two highly respected companies demonstrate his expertise and versatility in the field of data science and operations research.
Previous Experience at LLamasoft
Bhanu Potluri has considerable experience working at LLamasoft, A Coupa Company. He served as a Senior Applied Scientist from 2020 to 2021 for six months in Ann Arbor, Michigan. Prior to this role, he worked as an Applied Research Scientist for two years from 2018 to 2020 and as a Product Engineer from 2016 to 2018, both roles held in Ann Arbor, USA. His tenure at LLamasoft equipped him with significant expertise in applied research and product engineering.
Internship and Early Research Roles
Bhanu Potluri's early career includes an Operations Research Internship at Walt Disney World in the Orlando, Florida area in 2015. Before that, he worked as a Graduate Research Assistant at Rochester Institute of Technology from 2014 to 2016 in Rochester, New York Area. These roles provided him foundational experience in operations research and advanced research methodologies.
Educational Background
Bhanu Potluri pursued his Master of Science (MS) in Industrial Engineering from 2013 to 2015 at Rochester Institute of Technology. Prior to that, he completed his Bachelor of Technology (B.Tech.) in Mechanical Engineering from Koneru Lakshmaiah University between 2009 and 2013. His academic background in engineering laid the groundwork for his career in data science and operations research.
Expertise and Project Involvements
Throughout his career, Bhanu Potluri has developed and deployed machine learning models, simulation engines, optimization solvers, and data pipelines/dashboards aimed at solving logistics problems. His work includes optimizing last-mile delivery networks to enhance reliability and reduce costs, as well as enhancing e-commerce fulfillment through capacity-aware order routing. Additionally, he has developed vehicle route optimization solvers and improved planning through precise time-series forecasting, showcasing a robust expertise in logistics and data-driven decision-making.