Fatemeh Ghorbanivashki
About Fatemeh Ghorbanivashki
Fatemeh Ghorbanivashki is a Data Analyst Fellow with a strong background in HR and accounting analytics. She has experience in data visualization and has contributed to various projects, including one on Ontario housing available on GitHub.
Work at SharpestMinds
Fatemeh Ghorbanivashki has been working at SharpestMinds as a Data Analyst Fellow since 2022. In this role, she engages in data analysis projects that leverage her skills in data visualization and analytics. Her contributions are aimed at providing actionable insights and supporting decision-making processes within the organization.
Previous Experience in Human Resources and Accounting
Prior to her current role, Fatemeh worked at Behpardaz Jahan as a Human Resources Analyst from 2016 to 2018. In this position, she focused on HR analytics, where she contributed to projects that extracted insights from complex data sets. Additionally, she served as an Accounting Analyst at Asiatech Co. from 2013 to 2015, where she developed her analytical skills in financial contexts.
Education and Expertise
Fatemeh holds a Master of Science in Mathematics from Memorial University of Newfoundland. She also earned a Bachelor's Degree in Applied Mathematics from Iran University of Science and Technology. Her educational background provides her with a strong foundation in mathematical concepts, which she applies in her data analysis work. She possesses expertise in data visualization, particularly using Power BI.
Current Role at Manulife
Since 2022, Fatemeh has been working at Manulife as a Document Management Associate in Montreal, Quebec, Canada. In this role, she is responsible for managing and organizing documents, ensuring that information is accessible and properly maintained. This position complements her analytical skills and enhances her experience in data management.
Projects and Contributions
Fatemeh developed a project focused on Ontario housing, which is available on GitHub. This project showcases her ability to apply analytical methods to real-world issues and contributes to her portfolio of work in data analysis and visualization.