Over 8 years of extensive experience in SAS programming, Health care Industry , Risk and Fraud Analytics, Statistical & Data Analysis and Reporting in Finance, Customer Remediation, Banking Experience in Base SAS, SAS/Macros, SAS/SQL, SAS/STAT, SAS/Access, SAS/GRAPH,SQL and developing dashboards by SAS and Tableau, Engineered ETL Workflows using Python, Cloud Technology ,SAS migration to Python and PySpark , Data Visualization using PowerBI.
* Created Dynamic SAS Code by revamping the ongoing SAS codes .Hence, reducing the redundancy and there by decreasing the time taken to complete the process.
* Patterned with business analysts to analyze , troubleshoot and automate existing manual quality assurance checks performed on the client reports using SAS, Python and SQL leading to a 95% decrease in human error and a substantial saving in annual cost.
* Worked in analyzing and creating reports for large amounts of Medicaid data using SAS .
* Created Dynamic automated QA Logging Process for all ongoing projects.
* Migrated SAS codes to Databricks using Pyspark
* Created PowerBI Dashboards and reports to handle the large sets of data with in least timeframe.
* Created Python Codes to migrate data from SQL Server to Snowflake.
* Worked with Customer Remediation Analytics Team and mainly worked within Home Lending and Credit Card area.
* Designed, developed, modified and debugged programs. Knowledge in data management like Merging, concatenating of SAS datasets Perform Lookup on tables using SQL JOINS, Merge in Data Steps Scheduling time/ day based events projects through SAS Management
* Worked on SAS automation project to help various finance team to cut down the cost and efforts.
* Working as Analyst Programmer, supporting multiple Large market US clients, in Batch Team and writing SAS/SQL codes to create reports and automate manual process based on client requirements.
* Also responsible for managing the team and getting the work delivered on time and ensuring quality standards are met.
* It was purely based on SAS enterprise guide and excel to visualize. Responsibilities involve interacting with stake holders gathering the requirements, analyzing data from various sources systems
Data analysis
Data visualization Using PowerBI
SQL
Python
SAS
Pyspark
Azure