Mahnaz Akbari
About Mahnaz Akbari
Mahnaz Akbari is a Data Scientist with extensive experience in data analysis, visualization, and mining. She holds multiple degrees in Computer Science and Applied Mathematics, and has worked in various roles across educational and corporate settings since 2006.
Work at Insight Global
Mahnaz Akbari has been employed at Insight Global as a Data Scientist since 2020. In this role, she applies her expertise in data analysis, visualization, and mining to support various projects. Her work involves utilizing Big Data concepts to derive insights and inform decision-making processes. Based in Seattle, Washington, she contributes to the company's objectives by leveraging her extensive background in data science and software development.
Education and Expertise
Mahnaz Akbari holds multiple degrees in Computer Science and Applied Mathematics. She earned her Master’s Degree in Computer Science from the University of Wisconsin-Milwaukee from 2009 to 2011. She further pursued a Master’s Degree in Computer Science at the University of Wisconsin-Madison from 2013 to 2015. Prior to these, she completed her Bachelor's Degree in Applied Mathematics in Computer Science at Azad University - Tehran from 1989 to 1994. Her educational background provides her with a strong foundation in algorithms and data analysis.
Professional Background
Mahnaz Akbari has a diverse professional background in data science and software development. She worked as a Software Developer at the University of Wisconsin-Madison from 2014 to 2015. Prior to that, she served as a Research Assistant at the University of Wisconsin-Milwaukee in 2010. She also gained experience as a Senior System Administrator at DATAK Telecom from 2006 to 2008. Additionally, she completed a Data Scientist Internship at Lands' End in 2015.
Technical Skills and Knowledge
Mahnaz Akbari possesses professional software development skills in Java and Python. Her technical expertise extends to IT, database management, and infrastructure, which enhances her ability to lead technical teams. She has a strong focus on customer behavior analysis, utilizing applied mathematics and machine learning techniques. Her knowledge in Big Data concepts supports her role in data-driven decision-making.