Mila Khalitova, Ph.D

Mila Khalitova, Ph.D

Data Scientist @ Cision

About Mila Khalitova, Ph.D

Mila Khalitova, Ph.D, is a Data Scientist at Cision with a background in data analysis and research, having previously worked as a Senior Data Analyst at the same company and as a Doctoral Researcher at the University of Florida.

Current Role at Cision

Mila Khalitova, Ph.D, currently holds the position of Data Scientist at Cision. In this capacity, she applies her expertise in data science to analyze and interpret complex datasets. Her work involves the use of advanced algorithms and statistical techniques to provide insights that drive strategic decision-making within the company. This position follows her previous role at Cision as a Senior Data Analyst (Insights) from 2019 to 2020, showcasing her growth within the organization.

Previous Experience at Cision and PRIME Research

Before her current role, Mila Khalitova served as a Senior Data Analyst (Insights) at Cision from 2019 to 2020. Additionally, she briefly worked as a Research Fellow at PRIME Research in Ann Arbor, MI in 2017, where she focused on applied research methodologies. These positions reflect her strong background in data analysis and research, contributing to her current expertise as a Data Scientist.

Academic Background in Data Science and Journalism

Mila Khalitova’s academic credentials include a Ph.D. from the University of Florida, which she earned between 2015 and 2018. Her doctoral research experience spanned four years at the University of Florida College of Journalism and Communications. In addition, she holds a Master's degree from Voronezh State University, completed between 2006 and 2011. In 2020, she completed the Data Science Career Track at Springboard, further solidifying her knowledge and skills in this domain.

Skills and Contributions in Data Analysis

Mila Khalitova has demonstrated significant proficiency in data analysis and its application to business contexts. She generated $2.9 million in ad revenue by analyzing healthcare data to identify appropriate target audiences for pharmaceutical products. She has also designed and executed ROI and attitudinal studies in collaboration with platforms such as ProVoice, IQVIA, and Sermo. Her skills include applying Chat GPT algorithms for data categorization, performing A/B testing for e-mail marketing campaigns with R and Python, and automating custom reporting for external clients.

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