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Zeeshan .
Assistant Professor | Data Analyst | Economic Research Consultant , SBSEC, University of Delhi
New Delhi, Delhi
10 years of expertise in data analysis with a proven track record of publications in Scopus-Indexed journals. Over 3 years of successful teaching and training experience. Specialized Economist with a focus on applied microeconomics, development economics, and environmental economics, employing advanced econometric analysis techniques to drive evidence-based solutions.
Send email Contact Zeeshan .
Area of Expertise:
  • Agriculture, Livelihoods, Microfinance, Rural, Urban
  • Environment, Climate, Energy, Water, Sanitation
  • Monitoring, Evaluation, Policy, Research
  • Social, Gender, Education, Youth, Child
  • Trade, Finance, Economics, Cooperation, Global
Professional Experience:
I am an Assistant Professor at Department of Economics, Shaheed Bhagat Singh Evening College, University of Delhi, India. I hold Ph.D. in Economics from the Department of Economics and Finance, Birla Institute of Technology and Science (BITS), Pilani. I also hold master's and bachelor's degrees in Economics with specialization in Econometrics and Mathematical Economics from Aligarh Muslim University, India. My research interest lies in the field of Applied Microeconomics, Development Economics and Environmental Economics.
Education:
Ph.D. in Economics - BITS Pilani - 2020
Masters in Economics (Econometrics and Mathematical Economics) - AMU - 2013
Bachelors in Economics (Hons) (Econometrics and Mathematical Economics) - AMU - 2011

Skills - Applied Econometrics, STATA, Python, PowerBI, SQL, and Advanced Excel

The objectives of the Ph.D. thesis were to examine the determinants of livelihood diversification in non-farm enterprises (NFEs) and its possible impacts on (i) dietary diversity (ii) expenditure diversity (iii) farm investment and (iv) multidimensional poverty in different agroecological zones of rural India. We used longitudinal farm households’ data from IHDS, gathered in 2004-05 and 2011-12. Our econometric technique utilizes the panel probit analysis, propensity-score matching to control selection bias and instrumental-variable estimations to control endogeneity.
Available for:
  • Consulting assignments
  • Job opportunities
  • Internships / Fellowships

    Years of Experience:
    2-5 years
    Highest Qualification:
    Doctorate
    Languages:
    English, Hindi, Urdu
    Nationality:
    Indian
    LinkedIn Profile: https://www.linkedin.com/in/mohd-zeeshan-7094b820/
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