Chetna Mishra
About Chetna Mishra
Chetna Mishra is a Financial Analyst with over 5 years of experience, currently employed at Stealth Monitoring, Inc. in Mississauga, Ontario, Canada. She has a background in finance, having worked in various accounting and analytical roles across multiple companies in India and Canada.
Current Role at Stealth Monitoring
Chetna Mishra has been employed as a Financial Analyst at Stealth Monitoring, Inc. since 2019. Located in Mississauga, Ontario, Canada, she specializes in conducting operational cost assessments and analyzing the financial status of the company. Her role involves providing comprehensive data analysis and financial assessments to support the organization's financial health and operational efficiency.
Previous Experience in Finance
Before joining Stealth Monitoring, Chetna Mishra held several positions in the finance sector. She worked as a Senior Accountant at Parul Industrial Corporation from 2017 to 2019, and as a General Accountant at Anand Rathi Global Finance Limited from 2013 to 2017. Additionally, she served as a Research Associate at Bonanza Portfolio Ltd from 2008 to 2010. These roles contributed to her extensive experience in financial analysis and accounting.
Educational Background in Finance
Chetna Mishra holds a Bachelor's degree in Management Studies with a focus on Finance from the University of Mumbai, where she studied from 2001 to 2004. She also achieved a CFA from ICFAI University Coimbatore, completing her studies there from 2004 to 2007. This educational foundation has equipped her with the necessary skills and knowledge for her career in finance.
Expertise in Financial Operations
Chetna Mishra specializes in conducting operational cost assessments and analyzing company financial status. She has over five years of experience in providing comprehensive data analysis and financial assessment. Her expertise includes proficiency in financial operations using software such as SAP and NetSuite, which enhances her ability to manage and analyze financial data effectively.