Amit Sharma

Client :- Educational Initiatives, Bangalore Tools :- Python, Pandas, Flask, AWS Lambda Project Desc :- Created an API using Python, Pandas to implement Adaptive Logic in MindSpark package used for Student software in major schools in India. Used flask for multi user utility. Algorithm Logic was based on "Previous attempted question response to judge next question’s difficulty level". This reduces the number of questions to be asked to student. Used AWS Lambda to implement this API in Amazon cloud.

Project Desc :- Developed Battery Data Catalog in Amazon Web services. Aim of this project is to enable storage of 48V Battery Data from the Test Vehicle to the Amazon Cloud and to facilitate the user to get the prediction of Battery’s remaining useful life (RUL) from a ML model. The whole lifecycle of RUL prediction is setup in Amazon Cloud using S3 storage, EC2 instance with Tensor flow and Anaconda, AWS Lambda.

Project Desc :- AI4AXI project developed ML and Data Analytics based model to improve automatic detection of production failures in production, to reduce the number of manual inspections for errors while keeping the number of Slip-throughs as close as Zero. Role:- I helped the team to migrate the k-Nearest Neighbor (kNN) classifier model to python from Matlab.

Moving data from multiple data sources into Hive for better performance for reporting and massive data storage. Hive data is loaded into incremental basis like batch wise. Creates a custom input and output formats and then load data into hive tables HDP 1.3 to 2.2 version upgrade experience. Tested Data and Metadata for both servers. Created an automation tool in Python with Selenium library to collect various statistics while crawling through different windows in Oozie.

Data Migration from Sources to Cornerstone. The data get ingested to the Cornerstone from different sources like Mainframe, XML, Teradata, flat files etc. Compare and test the migrated data in Hadoop with the original source data. SQL Based Grammar is used for data extraction which uses internally PIG/Hive Engine for Extraction.

• Requirement gathering, identify risks and provide level 1 estimate. • Provide Conceptual design Solution. • Prepare Project planning document and track the timeline of the project. • Allocation of resources and IT budgeting as a Project Manager. • Create Conceptual Document and work with the technical team to translate the Business Requirement into a Technical Document. • Coordinate between the three groups within the team i.e., Data Architect team, ETL team and Reporting Team.

Client:- JPMC, AMEX, Wellpoint, UHG. Tools:- Cognos ReportNet, Business Objects, Crystal reports, Jasper reports. Roles:- BI Developer engaged in developing and testing Business Intelligence reports using BI Reporting tools.

Computer Science & Engineering