Monica Dutta

Monica Dutta is a senior manager (specialist) in MSC’s Data & Innovation Domain. She is an economist with over 14 years of experience gained through projects with national and international research firms e.g. IFPRI, TERI, CSIR NISTADS etc. Her areas of expertise include quantitative analysis in areas of development, agriculture, and energy economics, impact assessment, demand forecasting, programme design and evaluation. She specializes in undertaking modelling exercises and projections.

Before joining MSC, Monica Dutta was an Associate Fellow at TERI where she undertook various roles, from programme designing to quantitative assessment and demand analysis. She holds a master’s degree with a specialisation in Economics from the Delhi School of Economics in New Delhi, India. She is fluent in Hindi and English.  

Posts by Monica Dutta

NFHS 5 calls for urgent action on child nutrition in India

The article highlights findings from the first round of National Family Health Survey (NFHS) 5, a large scale nationwide survey of households in India, released in Dec’20. The article primarily focuses on Five major indicators of child nutrition and compares the outcome of first round of NFHS 5, covering 54% of India’s population with previously conducted NFHS, 3 and 4 in the year 2005-06 and 2015-16 respectively.

“Respect the sentiment:” Using sentiment analysis to inform policy and regulation

This blog examines how text analytics and social media platforms can help policymakers quickly gauge public sentiment around different issues.

A paradigm shift for fintechs: Why a coherent data strategy has become a business necessity

This blog explores the critical role of data analytics and machine learning in helping business organizations utilize data for their operations.

Coping measures for “measurement” in the time of COVID-19

COVID-19 has seen governments across the globe walk a tightrope as they scramble to contain the spread of the disease while keeping the economy stable. In this unprecedented situation, ground-level data for evidence-based decision-making assumes critical significance. This blog looks at five key lessons from MSC’s research on COVID-19.