Subhashini Gadesina
About Subhashini Gadesina
Subhashini Gadesina is a Marketing Science Manager at YouGov, where she has worked since 2022. She holds a Master's degree in Econometrics and has extensive experience in research and statistical analysis, particularly in the telecom and retail sectors.
Current Role at YouGov
Subhashini Gadesina serves as a Marketing Science Manager at YouGov, a position she has held since 2022. In this role, she applies her expertise in marketing science to analyze data and provide insights that inform strategic decisions. Her responsibilities include conducting research and utilizing statistical techniques to enhance marketing strategies and improve customer engagement.
Previous Experience at Blueocean Market Intelligence
Prior to her current role, Subhashini worked as a Data Analyst at Blueocean Market Intelligence from 2012 to 2016 in Bangalore, Karnataka. During her tenure, she focused on data analysis and contributed to various projects that involved market research and data interpretation, laying a strong foundation for her career in marketing science.
Experience at Ericsson
Subhashini held the position of Senior Analyst at Ericsson from 2016 to 2018, also in Bangalore, Karnataka. In this role, she was involved in analyzing data and providing insights related to telecommunications. Her work contributed to projects in the telecom sector, further enhancing her analytical skills and industry knowledge.
Educational Background
Subhashini Gadesina completed her Master's degree in Econometrics at Sri Venkateswara University from 2005 to 2007. She also earned a Bachelor's degree in Mathematics, Statistics, and Computer Science from the same university, studying from 2002 to 2005. This educational background provided her with a strong foundation in quantitative analysis and research methodologies.
Research and Analytical Skills
Subhashini possesses extensive experience in conducting both quantitative and qualitative research, particularly in the telecom and retail sectors. She is skilled in various statistical techniques, including regression, factor analysis, and segmentation models. Her proficiency in programming and data visualization tools such as MS Office, SPSS, and Tableau enables her to create dashboards that derive meaningful insights and enhance customer experience.