Divya Sinha
About Divya Sinha
Divya Sinha is a Senior Domain Analyst at The Smart Cube, where she has worked since 2017. She holds a Bachelor's degree in Economics from Delhi University and a Master's degree in Financial Economics from Madras School of Economics.
Current Role at The Smart Cube
Divya Sinha currently serves as a Senior Domain Analyst at The Smart Cube, a position she has held since 2017. In this role, she applies her expertise in Economics and analytical skills to deliver insights and support decision-making processes. Her tenure at The Smart Cube has allowed her to develop a deep understanding of industry trends and client needs, contributing to the firm's reputation for data-driven solutions.
Previous Experience at The Smart Cube
Before her current role, Divya Sinha worked as an Analyst at The Smart Cube from 2015 to 2017. During this time, she gained valuable experience in data analysis and project management. Her work involved collaborating with teams to analyze complex datasets and provide actionable recommendations, which laid the foundation for her advancement to Senior Domain Analyst.
Educational Background
Divya Sinha has a strong educational background in Economics. She completed her Bachelor of Arts in Economics at Delhi University from 2009 to 2012. Following this, she pursued a Master's degree in Financial Economics at the Madras School of Economics from 2013 to 2015. Her foundational education began at Carmel School and St Francis School, where she studied from 1998 to 2009.
Internship Experience
In 2014, Divya Sinha interned at the Ministry of Statistics and Programme Implementation for one month in Jalandhar, Punjab, India. This internship provided her with practical experience in data investigation, enhancing her analytical skills and understanding of statistical methodologies.
Technical Skills and Interests
Divya Sinha demonstrates proficiency in various software tools, including R, VBA, and Excel. Her strong analytical and applied skills in Mathematics, Statistics, and Econometrics complement her knowledge in Economics. She is known for her keen interest in learning and effective communication skills, which support her work in data analysis and interpretation.