Jan 2023 – Dec 2024 · 1 yr 11 mos · South Mumbai, Maharashtra, India · On-site

• Led a team of 14 developers in React.js, Flutter, built custom paint next-gen UI, deployed Web & App
• Later(Jan 24) Led the Data Science team; driving EDA and ETL Using Python and R scripts
• Implemented Chatbot Server, Propensity Models, solutions based on AWS Rekognition & AWS Textract
• Designed Data Architecture to support future scope and fostering data-driven decision making

Jul 2021 – Jan 2023 · 1 yr 6 mos · Mumbai, Maharashtra, India · Remote

• Built Asset Acquisition and Allocation Optimization for multi-billion Dollar Car Rental Company
• Big Data Model pulls data from AWS S3 via R scripts to generate constraints & send Gurobi solver
• Analyzed outputs & Investigated to fine tune the Model when optimization results are not as expected

Nov 2019 – Jul 2021 · 1 yr 8 mos · Mumbai, India · On-site

• Optimized a 4 step form filled by ~10K people everyday by using Material-UI Auto-complete
• Championed for refactoring old codebase with typescript function components, react-hooks, and scss
• Built and published reusable React.js components library with visual testing via chromatic / storybook
• Analyzed technical logs, errors, & dashboards to incrementally improve business metrics

Dec 2017 – Nov 2019 · 1 yr 11 mos · Mumbai, Maharashtra, India · Hybrid

• Lead a team of 5 developers for a large Fortune 250 company’s UK eCommerce business
• Liaison with client to fully understand their requirements and deliver features using agile methodology
• Converted monolith to a microservices backend that uses AWS SNS/SQS and Lambdas
• Created sync jobs between mongo and bigQuery databases and SAP B1 Service Layer integrations

Jan 2015 – Dec 2017 · 2 yrs 11 mos · Mumbai Area, India · On-site

• Lead a team of 11 MEAN developers including a 4 months in-house training program in MongoDB,
• Angular.js, Node.js and other cloud based technologies
• Built a SaaS solution for Restaurants with Food Ordering, Billing, Inventory and Analytical Reports
• Built a SaaS solution for Professional Services Firms with Timesheet Mgmt and Assignment Allocation

Jan 2010 – Jan 2015 · 5 yrs · Houston, Texas, United States · On-site

• Lead Revenue Optimization implementation for a Billion Dollar Car Rental Company, including
• modules of analytics, price management, forecasting, channel strategy optimization using Python
• Participated in Innovation Cell; built cloud based mid-market revenue optimization solution in 2 months
• focused on the Storage Rental Industry
• Implemented One-way(with Local) Optimization and Year-over-year Forecasting for a Truck Rental
• Company having operations across USA with over 300K trucks