Play a key role in the Data Science and Product Team, involved in pipeline management, data analysis, data management, data visualization work.Implement and maintain LIMS Ave80 GeneDx lab testing system. Fix issues, add features based on users’ requirements. Use Visual Studio, C#.Net and SQL Server.Implement, maintain and run clinical data ETL pipeline for monthly product releases for Mount Sinai users using Python, SQL and shell script. Convert complicated unstructured clinical data into structured data and load into a database.Generate data reports and analyses for various projects including clinical trials, medication, genetic testing and lab reports using AWS Redshift and Python.Use AWS data visualization tool to create oncology and rare disease data dashboards for users, convert data into presentable user-friendly graphics/interface. Mentor and lead junior team members, help with the onboarding process and supervise their work. Lead the team project and be in charge of release/delivery.

Played a key role in the IT department of a leading financial class action services company, providing data analysis/reporting/business solutions using DB and programming skill set.Extracted, analyzed, transformed and normalized data for case filing engine tool.Generated data reports for client use. Analyzed data sets to produce meaningful client data reports and present data to internal/external users.Worked on automation projects, using Python, C#.Net, Oracle and various programming languages/tools to build solutions for automatic data ETL process and data analysis.Communicated between IT and business/data departments. Understand business requirements and transform user requirements into functional requirements and come up with business solutions.

Served in the IT department to support the middle office and backend system. Majorly working on the project to support hedge fund clients to convert client systems into bank systems.Developed web applications for tracking client reporting deadlines and user workflow.Controlled the data quality delivered to the client. Validated data and maintained data integrity.Analyzed and improved business data performance by writing queries, stored procedures/functions. Implemented and ran data ETL jobs.Designed data models, documented data structures and relationships, imported/exported data schema, mapped data between systems and users.