Aishwarya M.

Senior Financial Analyst @ Credit One Bank

About Aishwarya M.

Aishwarya M. is a Senior Financial Analyst at Credit One Bank, where she specializes in portfolio management and data analysis. She has a background in data analytics and engineering, with experience in developing machine learning models and creating interactive dashboards.

Work at Credit One Bank

Aishwarya M. serves as a Senior Financial Analyst at Credit One Bank, a position she has held since 2023. In this role, she is part of a team that specializes in portfolio management within the financial domain. Aishwarya utilizes advanced analytical tools and programming languages, including SAS, SQL, and VBA, to conduct complex data analyses. She prepares detailed reports using Excel and Tableau to summarize and communicate analysis results effectively.

Previous Experience at Accenture

Prior to her current role, Aishwarya worked at Accenture as an Application Development Analyst from 2019 to 2021 in Bengaluru, Karnataka, India. During her two years at Accenture, she gained experience in application development and data analysis. This position allowed her to develop skills that she applies in her current financial analysis role.

Internship Experience at Sasken Technologies Limited

Aishwarya completed internships at Sasken Technologies Limited in 2018, where she worked as a Data Scientist Intern and a Data Analyst Intern for two months each. These internships provided her with practical experience in data analysis and machine learning. She developed machine learning models for various projects, including wildfire lightning prediction, driver drowsiness detection, and automobile insurance fraud detection.

Education and Expertise

Aishwarya holds a Bachelor of Engineering (BE) degree in Information Science/Studies from Dayananda Sagar College of Engineering in Bangalore. She furthered her education by obtaining a Master of Science (MS) in Data Analytics from San Jose State University. Her academic background equips her with a strong foundation in data analysis and engineering principles.

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