Diganta Sarkar

About Diganta Sarkar

Seasoned technical leader with domain expertise in Pricing, Risk, Retail Fulfillment, Marketplace and eCommerce- Proficient at addressing complex and ambiguous problems with machine learning models (eg Pricing and Matching)- Proficiency in Golang, Java, Spring (Certified), Hadoop (Certified), Android (Certified), C#.Net, Node.js- Strong knowledge in data storage and pipelines- Proactive problem solving skill, proficient in design pattern

Experience

1. Software Engineer

   Uber

   Mar 2019 — Present · Seattle, WA, US

   Working on leveraging machine learning, AI, and data-driven insights to optimize shared rides pricing and matching strategies (Uber Pool) using regression and classification models- Worked on spender and money movement risk decisions and onboarding new payment methods at Uber- Worked on Knowledge and Decision Platform, responsible for building online and offline risk and safety related intelligence and decision making services- Worked in Marketplace Fares platform team, Working in GoLang, Java, Python and Node.js- Led a team of 10 engineers to diversify the Fares platform onboarding different products - Led efforts to optimize performance reducing the QPS on the platform, saving 1m+ in infra costs per year - Led efforts in hiring and mentoring newcomers, helped an intern write blogs for Uber Engineering

Education

• University of Washington

  Certificate in Android Applications Development, Mobile

  2013

• IIEST, Shibpur

  BS, Computer Science

Skills

• Java Enterprise Edition
• Etl
• C#
• Agile Methodologies
• Junit
• Sql
• Linux
• Hibernate
• Service-Oriented Architecture (Soa)
• Integration
• Oracle Sql
• Xml
• Databases
• Web Services
• Microsoft Sql Server
• Android
• Spring Framework
• Java
• Mysql
• Distributed Systems
• Sql Server
• Hadoop
• Spring
• Soa
• Extract, Transform, Load (Etl)
• Software Development
• Scrum