Mahdieh(madi) Sattari
About Mahdieh(madi) Sattari
Mahdieh (Madi) Sattari is a Senior Data Scientist currently employed at YouGov in London, United Kingdom. She has extensive experience in data science, having previously worked at institutions such as the University of Eastern Finland and Bonamy Finch, and holds a PhD in Mathematical Analysis and Scientific Computing.
Work at YouGov
Mahdieh Sattari has been employed at YouGov as a Senior Data Scientist since 2020. In this role, she focuses on leveraging her expertise in data science to analyze customer behavior and improve data-driven decision-making. Her work involves applying advanced machine learning algorithms to predict customer behavior and detect anomalies. Sattari's contributions to the team enhance the company's ability to understand market trends and consumer preferences.
Previous Experience in Data Science
Prior to her current position, Mahdieh Sattari worked at several organizations in data science roles. She served as a Data Scientist at Qvantel from 2015 to 2018, where she utilized her skills in statistical analysis and machine learning. Sattari also held the position of Senior Data Scientist at Bonamy Finch for one year in 2018-2019 in the United Kingdom. Her early career included a six-year tenure as a Junior Researcher at the University of Eastern Finland, where she developed foundational skills in research and data analysis.
Education and Expertise
Mahdieh Sattari holds a Doctor of Philosophy (PhD) in Mathematical Analysis and Scientific Computing from the University of Eastern Finland, which she obtained between 2009 and 2015. She has also studied Applied Mathematics and Numerical Analysis as a visiting researcher at Universität Augsburg. Additionally, Sattari completed a Data Science Specialization at Johns Hopkins University through Coursera in 2014. Her educational background equips her with a strong foundation in mathematical modeling and statistical techniques.
Research and Development Skills
Sattari has developed expertise in various areas of data science, including customer behavior prediction and anomaly detection. She specializes in applying statistical techniques for customer segmentation and churn prediction. Her research includes a strong background in mathematical modeling related to fiber orientation distribution and biological pattern formation. Sattari also employs finite element and finite difference simulation techniques in her work, enhancing her analytical capabilities.
Technical Proficiencies
Mahdieh Sattari is proficient in advanced machine learning algorithms and data analysis techniques. Her experience includes web performance analysis, where she applies data analysis and machine learning to assess and improve online performance metrics. Sattari's technical skills enable her to handle complex data sets and derive actionable insights, contributing to her effectiveness as a data scientist.