Irani Chatterjee

Irani Chatterjee

Forecast Data Analyst @ Ally

About Irani Chatterjee

Irani Chatterjee is a Forecast Data Analyst at Ally, utilizing SAS Forecast Studio and SAS Enterprise Miner, with a background in Information Technology and Management from The University of Texas at Dallas.

Company

Irani Chatterjee currently works at Ally in the Dallas/Fort Worth area. Ally is a financial services company that offers a wide range of products including banking, auto financing, and corporate finance. Irani serves in dual roles as a Forecast Data Analyst and Reporting Data Analyst. Her work involves utilizing advanced data analysis tools to support business decisions.

Title

Irani Chatterjee holds the positions of Forecast Data Analyst and Reporting Data Analyst at Ally. In her role, she is responsible for analyzing and interpreting complex data sets to provide valuable insights for forecasting and reporting purposes. She employs tools like SAS Forecast Studio, SAS Enterprise Miner, Power BI, and the R programming package to perform her tasks efficiently.

Education and Expertise

Irani Chatterjee has an educational background in both Information Technology and Computer Science. She achieved her Master of Science (MS) degree in Information Technology and Management from The University of Texas at Dallas between 2014 and 2015. Additionally, she holds a Bachelor of Technology (B.Tech.) in Computer Science and Engineering from West Bengal University of Technology. Her expertise lies in using advanced data analysis tools and techniques.

Background

Prior to joining Ally, Irani Chatterjee worked at Polaris Software Labs Ltd. as a Senior System Analyst from 2006 to 2009 in India. Her experience in that role provided her with a strong foundation in system analysis and data management, which she has further developed in her current positions at Ally.

Dallas/Fort Worth Area Professional

Since 2017, Irani Chatterjee has been contributing her expertise in data analysis in the Dallas/Fort Worth area. Her work involves employing tools such as SAS Forecast Studio, SAS Enterprise Miner, Power BI, and the R programming package to drive insightful data analyses. Her role has been pivotal in supporting Ally's business decisions through precise data forecasting and reporting.

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