Mahsa Azizi
About Mahsa Azizi
Mahsa Azizi is a Data Analyst currently employed at Dialpad and the University of Saskatchewan, with extensive experience in data analytics and software development. She holds a Bachelor's degree in Information Technology and a Master's degree in Data Science, and is proficient in various data visualization tools and machine learning techniques.
Work at Dialpad
Mahsa Azizi has been employed as a Data Analyst at Dialpad since 2021. In this role, she applies her data analysis skills to support various business functions. Her work is based in Vancouver, British Columbia, Canada. Over her tenure, she has contributed to projects that leverage data to enhance decision-making processes within the organization.
Current Role at University of Saskatchewan
In addition to her position at Dialpad, Mahsa Azizi serves as a Data Scientist at the University of Saskatchewan since 2020. This role is remote and allows her to utilize her expertise in data analytics and machine learning. She has been involved in analyzing real-world data to provide insights that support academic and administrative functions.
Previous Experience in Data Analysis
Prior to her current roles, Mahsa Azizi worked at Mercedes-Benz Canada as a Big Data Analyst for six months in 2019. She also held a position as a Data Analyst at the University of Saskatchewan for three months in 2018. Additionally, she worked as a Data Scientist for the Government of Saskatchewan for one year, where she applied her analytical skills to various projects.
Educational Background
Mahsa Azizi holds a Bachelor’s Degree in Information Technology from Shiraz University of Technology, which she completed from 2011 to 2015. She furthered her education by obtaining a Master’s degree in Computer Science with a focus on Data Science from the University of Saskatchewan, studying from 2017 to 2019. This educational background has equipped her with a solid foundation in both data analytics and software development.
Skills and Proficiencies
Mahsa Azizi is proficient in a range of data visualization tools, including Tableau, Power BI, Excel, and Python. She is skilled in web and software development, alongside her data analytics capabilities. Her experience includes collaborating with engineers and software developers, and she is known for her strong interpersonal and problem-solving skills.