● Ingesting raw data and transforming to processed data by merging, finding duplicates, fixing errors, missing values using pandas, numpy and sql.● Worked on data that was a combination of unstructured and structured data from multiple sources and automated the cleaning using pandas and numpy.● Extensive experience in reading and exporting huge amount of data in pandas in any format (text, csv, excel).● Handled KT with client to understand the various data requirements and modified according to their need using pandas and sql (MSSQL).● Created data dictionary● Worked on data frames using loc, lambda, merge, def functions ● Proficient in problem solving and debugging.● Locate and defined new process improvement opportunities to make it easier for the future use.● Undertake a quality check of process execution. Delivered projects within the agreed timeline and quality standards.● Proficient knowledge in SQL and worked on joins, coalesce and many more functions.● Created detailed analysis reports for US retail products which provides summary on item movement, sales for that particular item over a time period using pandas and numpy.● Created reports and analyze data for patterns that indicates problems. Investigated root cause of problems and comes with a solution to fix the issue.● Helped team members with their problems when working with data and always helped them to understand and fix issue.

Review and approval of test scripts, validation deliverables.o Assist in training of SOP’s and maintaining training logs.o Preforming Traceability Matrix to track the requirements against scoped test cases.o Conducting internal audits and providing gaps and outcomes to respective project team.o Liaise with cross functional teams to ensure alignment on validation approach and deliverables and escalate critical issues via appropriate channelso Handling Change request process, defect & deviation management and SOP up-versioning.o Involved in validating applications with respect to V model and Agile model of implementation.