Ashkan Rasouli
About Ashkan Rasouli
Ashkan Rasouli is a Senior Data Analyst at TELUS in Toronto, Ontario, Canada, with expertise in Python for data analysis and visualization.
Current Role at TELUS
Ashkan Rasouli currently holds the position of Senior Data Analyst at TELUS, based in Toronto, Ontario, Canada. He began this role on January 1, 2021. In his capacity, he coordinates and collaborates with team members to handle large-scale ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) tasks, ensuring efficient data processing and management. Additionally, he is tasked with ensuring data quality by identifying and correcting errors through meticulous data cleaning processes.
Title and Expertise
As a Senior Data Analyst, Ashkan Rasouli brings a wealth of expertise to his role, particularly in the use of Python for data analysis and visualization. His skills in Python facilitate the transformation and interpretation of complex data sets, enabling valuable insights and data-driven decision-making. His technical proficiency ensures that the data processed is accurate, reliable, and easy to understand.
Educational Background
Ashkan Rasouli holds a comprehensive educational background in both Mechanical Engineering and Data Science. He achieved a Bachelor's degree in Mechanical Engineering from Islamic Azad University, Science and Research Branch, where he studied from 2009 to 2014. Following this, he earned a Master's degree in Mechanical Engineering from the University of Saskatchewan, which he pursued from 2016 to 2019. To further augment his analytical skills, Ashkan completed a program in Data Science at the University of Tehran from 2021 to 2022.
Skills in Data Management
Within his role at TELUS, Ashkan Rasouli employs a robust set of skills in data management. His responsibilities include coordinating with team members to streamline ETL and ELT workflows, which are fundamental to effective data integration and processing. By identifying errors and conducting thorough data cleaning, he ensures the integrity and quality of the data utilized in analytical processes, supporting the company's data accuracy and reliability.