Rahul Patel

Rahul Patel

Data Analyst @ CIBC

About Rahul Patel

Rahul Patel is a Data Analyst at CIBC in Toronto, Ontario, Canada, with a background in data science and engineering.

Current Role at CIBC

Rahul Patel currently works as a Data Analyst at CIBC in Toronto, Ontario, Canada. He began his tenure at CIBC in 2021. His role at CIBC involves analyzing and interpreting complex data sets, contributing to the bank's decision-making processes. Using his expertise in data visualization tools like PowerBi, he provides insights that drive business outcomes.

Previous Experience at SharpestMinds

Before joining CIBC, Rahul Patel worked as a Data Analyst at SharpestMinds in Toronto, Ontario, Canada. He held this position for a brief period from 2020 to 2021. During his time at SharpestMinds, he harnessed data analytics to generate insights and drive program efficiencies, enhancing the company's robust learning and mentoring framework.

Role at Walmart Canada

Rahul Patel served as a Fulfillment Associate at Walmart Canada in Leamington, Ontario, for a year from 2019 to 2020. Although this role was outside of his primary expertise in data analysis, it contributed to his understanding of logistical processes and customer service operations within a large retail environment.

Education and Technical Expertise

Rahul Patel holds a Master of Engineering (MEng) in Electrical and Computer Engineering from the University of Windsor, completed in 2020. Additionally, he earned a Bachelor of Engineering (BE) in Electrical Engineering Technologies/Technicians from Gujarat Technological University in 2018. His education has provided him a strong foundation in both engineering and information technology, which he leverages in his data analytics career. He is skilled in utilizing PowerBi for comprehensive data visualization and analysis tasks.

Early Career as Data Science Intern

Rahul Patel began his career as a Data Science Intern at JR Enterprise in Ahmedabad, Gujarat, India. He worked in this role from 2018 to 2019, gaining crucial hands-on experience in data science techniques and methodologies. This internship laid the groundwork for his future roles in data analysis, providing him with practical skills and industry knowledge that he continues to use in his professional endeavors.

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