Anurag Kumar
About Anurag Kumar
Anurag Kumar is a Senior Analyst at The Smart Cube in Noida, Uttar Pradesh, India, where he has worked since 2021. He specializes in Data Visualization, Time Series Analysis, and Machine Learning, and has a strong background in Econometrics and the information services industry.
Work at The Smart Cube
Anurag Kumar has been employed at The Smart Cube as a Senior Analyst since 2021. He operates from Noida, Uttar Pradesh, India. In this role, he utilizes his skills in data visualization to effectively communicate complex data insights. His position involves analyzing data to support business solutions and decision-making processes.
Previous Experience at Nielsen
Before joining The Smart Cube, Anurag Kumar worked at Nielsen as a Research Executive from 2018 to 2020. During his two years in this role, he gained experience in the information services industry, contributing to his understanding of data-driven business solutions. His work involved research and analysis that supported client needs.
Education and Expertise
Anurag Kumar holds a Master of Arts in Applied Economics from the Centre For Development Studies at Jawaharlal Nehru University (JNU), where he studied from 2016 to 2018. He also earned a Bachelor of Arts in Economics (Honors) from Delhi University, studying from 2011 to 2014. His educational background provides a strong foundation in econometrics, time series analysis, and machine learning.
Skills in Data Analysis
Anurag Kumar possesses strong skills in data visualization, time series analysis, and machine learning. These skills are essential for predictive analytics and data-driven decision-making. He is also experienced in using Stata, a software package that supports data management, statistical analysis, and graphics, enhancing his analytical capabilities.
Background in Econometrics
Anurag Kumar has a professional background in econometrics, which involves applying statistical methods to economic data. This expertise is crucial for analyzing trends and making informed decisions based on quantitative data. His experience in the information services industry further complements his understanding of data-driven business solutions.