Irina Natsvlishvili

Sr. Sas Programmer @ Harmonia Holdings Group

About Irina Natsvlishvili

Irina Natsvlishvili is a seasoned Sr. SAS Programmer with extensive experience in various government agencies, including the US Department of Education and the Bureau of Labor Statistics. She currently works as a Software Development Consultant at Paradyme Management Inc. and as a Sr. SAS Programmer at Harmonia Holdings Group, LLC.

Work at Harmonia Holdings Group

Irina Natsvlishvili has been employed at Harmonia Holdings Group, LLC as a Senior SAS Programmer since 2019. In this role, she has contributed to projects within the Bureau of Commerce, specifically focusing on the US Census in the Washington D.C. Metro Area. Her responsibilities include utilizing SAS programming to analyze and manage data effectively.

Current Role at Paradyme Management Inc.

Since 2020, Irina Natsvlishvili has served as a Software Development Consultant at Paradyme Management Inc. for a period of four years. In this position, she applies her programming skills to support various software development initiatives, enhancing operational efficiency and data management capabilities.

Previous Experience at Modis

Irina Natsvlishvili worked at Modis as a Senior SAS Programmer from 2016 to 2019. During her three years there, she was involved in projects related to the Bureau of Commerce, specifically the US Census in the Washington D.C. Metro Area. Her role focused on data analysis and programming using SAS.

Tenure at BAE Systems

Irina Natsvlishvili was employed at BAE Systems as a SAS Programmer from 1999 to 2014, totaling 15 years of service. During her tenure, she worked with the Bureau of Labor Statistics in Washington D.C., where she developed her expertise in data analysis and SAS programming.

Experience at Ambit

Irina Natsvlishvili held the position of Senior SAS Programmer at Ambit from 2015 to 2016. Her work involved supporting the US Department of Education in Washington D.C. for one year, where she applied her programming skills to educational data analysis.

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