• Reduced deliver times using approximate shortest routes with less or no use of google map.• Increased average orders per online hour.• Earned top performing rider batch in the weekly statistics reports.

 Designed and automated a mapping pipeline as data association and information extracting task to optimize process and replace manual mapping resulting in time and cost reduction using AWS Glue Databrew. The overall upgrade improved the process by 75%-85%. Gathered fund constituent's data from internet resources as well as converted into csv file andprepared data from mapping pipeline. Conducted investigations of AWS Glue Databrew's data profiling related issue and performed severalcommunications with AWS support team. Contributed as a peer reviewer of back-end developer including REST API service workflows, data dictionary and database design from raw dataset, while serving as a tester to test the features in the front end.

 Supported in implementing a proof of concept of shopping cart using product image data and bar-codescanning data. Crafted few detailed python codes for internal utility packages.

 Coded in Java using Eclipse for additional tasks of a state diagram drawing tool. Fixed bugs and tested a gesture based student course selection application. Developed, tested and documented the car paint quality checking prototype using hand gesture and Microsoft Kinect.