About

Pranit Arora is an experienced Software Engineer II at Uber, where he is currently working for the Maps Geospatial team. He has been leading efforts on the "where are you" service used for pickup/delivery location determination using Machine Learning and reverse geocoding. Pranit has been iterative through multiple experience enhancements leading to 4% reduction in pickup friction metric, 1% decrease in terminal cancellation rate and 3% decrease in rider-driver contact, 1% decrease in driver loops. He has also worked with Uber in the past as a Software Engineer I, where he reduced the time to productionize curated maps data by over 85% through process and system improvements and increased efficiency of spark jobs used for data curation and evaluation by over 50%. Pranit has also worked as a Software Engineering Intern at Uber, where he reduced downtime & errors in employee dashboard & provisioning tool by >50% by implementing a monitoring system with automatic alerts if system health deteriorates. He also added an easy-to-use metric system for a data integration tool and improved the usability of the employee dashboard by redesigning user page, adding features & security to a new deprovisioning tool. Pranit has a Master of Science (M.S.) degree in Computer Science from New York University _ Graduate School of Arts and Science, and a Bachelor of Technology (B.Tech.) degree in Production and Industrial Engineering from IIT Delhi. He has also completed his schooling from Delhi Public School - R.K. Puram. Pranit's technical expertise includes Software Engineering, ML, Spark, and Integration. He has relevant experience of 5.20 years.