Surbhi Sultania
About Surbhi Sultania
Surbhi Sultania is an Assistant Manager in Data Analytics with extensive experience in quantitative market research and data analysis. She holds a Bachelor's degree in Mechanical Engineering and is currently pursuing a Master's degree in Data Science & Engineering.
Current Role at The Smart Cube
Surbhi Sultania holds the position of Assistant Manager in Data Analytics at The Smart Cube, where she has been employed since 2018. In this role, she manages quantitative market research projects that focus on customer needs assessment and brand equity. She plays a crucial role in designing questionnaires and analysis plans for various data analytics projects. Her work involves utilizing statistical models to derive insights from survey and historical client data.
Previous Experience at The Smart Cube
Before her current role, Surbhi Sultania worked as a Senior Data Analyst at The Smart Cube from 2016 to 2018. During her tenure, she contributed to various data analytics initiatives and gained valuable experience in the field. Her responsibilities included conducting data analysis and supporting the development of analytics strategies.
Education and Academic Background
Surbhi Sultania earned her Bachelor's degree in Mechanical Engineering from Jaypee University of Engineering and Technology, achieving a score of 81.0% from 2009 to 2013. She is currently pursuing a Master's degree in Data Science & Engineering at Birla Institute of Technology and Science, Pilani, expected to be completed in 2024. Additionally, she completed her high school education at Delhi Public School, scoring 88.6% in Science.
Professional Development and Training
In her current role, Surbhi Sultania conducts training sessions aimed at enhancing the skills and knowledge of her team members. She is involved in organizational activities that include feedback and appraisal processes, contributing to the professional development of her colleagues. This focus on training reflects her commitment to fostering a knowledgeable and skilled workforce.
Technical Skills and Tools
Surbhi Sultania utilizes various tools and statistical models in her data analysis work. She employs software such as SPSS and Python to conduct comprehensive data analyses. Her expertise includes applying statistical techniques like segmentation and random forest to extract insights from survey data and historical client information.