Simona Grădinaru
About Simona Grădinaru
Simona Grădinaru is an Associate Data Scientist with a strong academic background, holding a PhD and multiple degrees from Academia de Studii Economice din București. She specializes in data analysis techniques and has conducted various studies, including air quality rankings and consumer behavior analyses.
Work at YouGov
Simona Grădinaru has been employed at YouGov as an Associate Data Scientist since 2021. In this role, she applies her expertise in data analysis to support various projects and initiatives. Her responsibilities include conducting analyses that inform decision-making and enhance understanding of consumer behavior. Simona's work contributes to the company's ability to provide insights and data-driven recommendations to clients.
Education and Expertise
Simona Grădinaru holds multiple degrees from Academia de Studii Economice din București. She earned her Bachelor’s Degree from 2012 to 2015, followed by a Master’s Degree from 2015 to 2017. She completed her Doctor of Philosophy (PhD) from 2017 to 2022. Her academic background equips her with a strong foundation in data science and analytical techniques, which she applies in her professional roles.
Background
Simona Grădinaru completed her high school education at Liceul Teoretic Neagoe Basarab Oltenita from 2008 to 2012. Following her secondary education, she pursued higher education at Academia de Studii Economice din București, where she obtained her Bachelor’s, Master’s, and PhD degrees. This educational trajectory has shaped her career in data science and analytics.
Research and Projects
Simona Grădinaru has conducted significant research in data analysis. She completed a study ranking European cities based on air quality and traffic safety using FDH and hyperbolic FDH techniques. Additionally, she performed cluster and discriminant analysis on consumer attitudes towards tea. Her work also includes developing a segmentation tool for a client through factor analysis and k-means clustering, and executing a Key Driver Analysis related to customer interactions.
Analytical Techniques and Methodologies
In her analytical work, Simona Grădinaru utilizes various statistical techniques and methodologies. She has performed a 5-year forecast on computer and printer sales using ARIMA, Exponential smoothing, and Artificial Neural Network models. Furthermore, she has identified economic indicators influencing printer sales through stepwise regression analysis, showcasing her proficiency in advanced data analysis methods.