Yashmin S.

Yashmin S.

Data Analyst @ CIBC

About Yashmin S.

Yashmin S. is a Data Analyst at CIBC with a background in Business Intelligence and Analytics.

Current Role at CIBC

Yashmin S. has been serving as a Data Analyst at CIBC in Toronto, Ontario, Canada, since 2020. Her role involves working with large datasets to derive actionable insights, supporting decision-making processes within the company. She integrates analytical methods to streamline workflows and enhance data-driven strategies within the organization.

Previous Experience at Aramark

From 2017 to 2019, Yashmin S. worked as a Business Analyst at Aramark in the Cincinnati Area, KY. During her tenure, she focused on improving business processes and optimizing performance metrics. Her role included conducting data analysis, preparing reports for stakeholder meetings, and identifying key areas for operational optimization.

Educational Background

Yashmin S. has a strong academic foundation with a Bachelor's Degree in Information Technology from Panjab University (2011-2015). She furthered her education at the University of Cincinnati, obtaining a Master's Degree in Computer Engineering from 2015 to 2017. Additionally, she specialized in Business Intelligence and Analytics during her Master's studies. In 2020, she earned a Certificate in IT and Workplace Communication from Ryerson University's G. Raymond Chang School of Continuing Education.

Skills in Business Intelligence and Analytics

Throughout her career and education, Yashmin S. has developed a robust skill set in Business Intelligence and Analytics. She is proficient in data visualization, BI reporting, and database management. Her experience also spans Change Management and the Software Development Life Cycle, contributing to her comprehensive expertise in enhancing organizational efficiency.

Experience in Global Trading Solutions and Commercial Banking Projects

Yashmin S. has contributed to various projects involving Global Trading Solutions and Commercial Banking. Her work in these areas demonstrates her ability to apply analytical skills to complex financial systems, supporting the development of scalable and efficient solutions tailored to industry needs.

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