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EXPERIENCE:

Innovaccer Analytics

Sector 62, Noida

Senior Qa Engineer

[Duration] – Feb 2020 – Present

·        Creating Automated QA processes for different healthcare products

·        Actively involved in analysis on conversion of SAS algorithms to Python.

·        Creating data on different platforms- AWS redshift, Postgres ,Sqlserver,Pyhton for Risk    Analytics QA team for scenario creation.

·        Responsible for the Creating end to end QA steps as per business requirement.

·        Used Python, Sql,SAS and variety of data sources to achieve robust data quality checks

·        Providing Ad-hoc data quality reports to the project stakeholder as and when required.

·        Worked on data analysis and QA for Healthcare risk models on SAS and python platforms.

DAMAN NATIONAL HEALTH INSURANCE COMPANY

(ON PAYROLL OF AARIYA HEALTH CONSULTANCY,ABU DHABI, UAE)

Data Scientist

[Duration] – April 2019 – July 2019

●                   Data analytics and visualization project on health Insurance data.

●                   Worked on Python, Sql server, Gephi, Qliksense to generate Network graphs to study relationships between different healthcare participants and detect any unusual patterns.

FUJITSU CONSULTING INDIA PVT. LTD.

Senior Application Developer

[Project Name]: NDW

[Duration] – June 2018 – March 2019

●                   Provided technical support for the SAS jobs including development and troubleshooting.

●                   Involved in tracking daily data feeds required for successfully executing daily jobs.

●                   Actively involved in transition of the SAS project to different team and technology.

●                   Was part of COE extended team for creating machine learning POCs on open source tools such as python

●                   Assisted other projects for dashboard and insights creation using Qliksesne.

●                   Also provided support for django based web application for 6 months, to another team outside my core project.

●                   POC to scrap URL data and use webpage to present filtered data using Python, cherrypywebframework and redisserver .(Github link-https://github.com/viks555/app_vks)