Karan Singh B.
Karan Singh B.
Last update: Mar 31, 2025
Karan Singh B.
Last update: Mar 31, 2025
Details
Citizenships:
India
Languages:
English, Tamil
Highest Degree:
Ph.D
Experience:
23 years
E-mail(s):
Sectors:
Labour Market & Employment, Macro-Econ. & Public Finance, Poverty Reduction
Address:
Cellphone(s):
Linkedin:
Sanctions:
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Associated Awards 0

Profile summary
AI generated

The expert operates primarily in the domains of Labour Market & Employment, Macro-Economics & Public Finance, and Poverty Reduction. With a comprehensive grasp of empirical data analysis, they have engaged in collaborations with prominent economists from internationally respected institutions. This multidisciplinary expert executes projects that bridge academic and practical sectors with a focus on problem-solving through data-driven insights. Their work spans diverse areas such as industrial policies, labor market dynamics, infrastructure development, and social welfare initiatives.

In notable collaborations, the expert has demonstrated commendable leadership in projects with organizations such as the World Bank, guiding missions to assess manufacturing competitiveness in Ethiopia and macroeconomic prospects in Kenya. As a Research Analyst for New York University and Johns Hopkins University, they conducted rigorous economic studies, notably using regression discontinuity analyses to evaluate policy impacts on household welfare and market efficiency.

Key responsibilities have included leading extensive data-driven research, performing spatial analyses, and advising on strategic policy interventions. This expert has contributed to academic and policy dialogues through impactful publications and presentations, earning recognition for their contributions to economic policy research. They have participated in policy discussions, leading to strategic recommendations on employment generation, industrial development, and economic stabilization.

The expert possesses advanced skills in econometric techniques—such as difference-in-differences and instrumental variable regression—proficiency in software like Python, ArcGIS, and Stata, along with superior capabilities in project management and stakeholder engagement. This combination of technical expertise and strategic foresight has enabled them to secure funding, lead diverse research teams, and drive meaningful change in international development sectors.

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