<<

Nandana Sengupta September 30, 2020

email: [email protected], [email protected] url: sites.google.com/site/nandanasenguptahome/

Education Ph.D. Economics (with a minor in Statistics) Carnegie Mellon 2015 MSc. Economics Carnegie Mellon University 2011 MSc. Development Economics Indira Gandhi Institute of Development Research 2008 B.Sc. (Honors) Physics St. Stephen’s , University 2006

PhD Thesis: “ Techniques in Applied Econometrics” (slides) Advisor: Fallaw Sowell

Professional Experience

Assistant Professor, School of Public Policy, Indian Institute of Technology Delhi, (June 2019- present)

Assistant Professor, School of Policy and Governance, Azim Premji University, (Oct 2017- June 2019)

Senior Research Fellow, Tata Center for Development, UChicago Delhi Center (June 2017– Oct 2017).

Postdoctoral Scholar, Knowledge Lab, University of (2015 – 2017). Advisors: James Evans and Nathan Srebro

Management Trainee, Market Risk Management Group, ICICI Bank, Mumbai, (2008-2009).

Fields of Interest

Broad Areas: Econometrics, Machine Learning, Public Policy.

Methodological Areas: Program Evaluation, Recommendation Systems, Missing value imputation, Crowd- sourcing.

Application Areas: Public Health, Informal Labor Markets, Urban Safety.

Publications

“On the Asymptotic Distribution of Ridge Regression Estimators using Training and Test Samples” (joint with Fallaw Sowell). Econometrics (Forthcoming).

“Simple Surveys: Preference Retrieval Inspired by Recommendation Systems” (joint with James Evans and Nati Srebro). Social Science Computer Review (2019).

“Clustered Ranking Using Multi-Armed Bandits” (joint work with Sumeet Katariya, Lalit Jain, James Evans and Robert Nowak). AISTATS (2018).

“Is India’s Safe Motherhood Scheme Leading to Better Child Health Care Practices?” (joint work with Aakanksha Sinha). Global Social Welfare (November 2017).

1 Under Review

“Social Data Reconstruction through Matrix Factorization” (joint work with Madeleine Udell, Nati Srebro and James Evans). Submitted to Sociological Methods and Research.

“The Asymptotic Distribution of the Ridge Estimator for Linear Instrumental Variables using K-fold Cross-Validation” (joint work with Fallaw Sowell). Submitted to Econometric Theory.

“Mapping the Skills Space in Informal Work: Insights from Bangalore Slums” (joint work with James Evans and Sarthak Gaurav). Submitted to Economic Review.

Working Papers

“Economic Status Prediction Using Household Images” (joint work with Chetan Arora, Karuna Krishnaswamy and Subhashis Bannerjee).

“Adaptive Surveying in a fieldwork setting in India” (joint work with Sarthak Gaurav and James Evans).

“Safety For Whom? Analyzing Bias in Crowdsourced Safety Labels”. (joint work with Ashwini Vaidya and James Evans).

“Justice Delayed: socio-economic factors and judicial delays in India” (joint with Varsha Aithala and Rathan Sudheer).

Teaching Overview

Instructor, “Social Research Methods”, Indian Institute of Technology Delhi, 2020.

Instructor, “Regression Analysis”, Indian Institute of Technology Delhi, 2019.

Instructor, “Understanding India with Data (and R)”, Azim Premji University, Spring 2019.

Instructor, “Methods for Evaluation and Impact Assessment”, Azim Premji University, Fall 2018.

Instructor, “Program Evaluation”, Azim Premji University, Spring 2018.

Instructor, “Causal and Inferential Analysis”, Azim Premji University, Spring 2018.

Instructor, Computational Social Science Skills Session on “Introduction to Adaptive Surveys and Crowd- sourcing”, , Spring 2017.

Instructor, “Regression Analysis”, Carnegie Mellon University, Summer 2012.

Teaching Assistant, “Managerial Economics”, Carnegie Mellon University, Fall 2011-14.

Teaching Assistant, “Business Networks”, Carnegie Mellon University, Fall 2011-14.

Teaching Assistant, “Business Forecasting with Time Series”, Carnegie Mellon University, Spring 2013-14.

Teaching Assistant, “Probability and Statistics”, Carnegie Mellon University, Fall 2013-14.

Teaching Assistant, “Advanced Macroeconomics”, Carnegie Mellon University, Fall 2011. Awards and Grants

University of Chicago Delhi Center Grant as Co-Principal Investigator for study on ”Improving Skilling, Signalling and Safety in the Indian Informal Labour Market”. Grant amount: USD 30,000 (2019).

NCAER National Data Innivation Center Grant as Principal Investigator for “Asset Index Estimation using Deep Learning on Images” as Principal Investigator. INR 6 lakhs (2019).

Internal Research Grant, Azim Premji University for “Piloting Adaptive Survey Design in fieldwork” as Principal Investigator. INR 2 lakhs (2018).

University of Chicago Delhi Center Grant as Co-Principal Investigator for study on “Characterizing the Skill Space in India’s Urban Informal Market”. Grant amount: USD 15,000 (2017).

Scholarship by the Santa Fe Institute as part of 1 of 10 selected attendees at Santa Fe Institute’s Com- putational Social Science Workshop. (2011).

Ph.D. Fellowship: William Larimer Mellon Fellowship (2009-2015).

Invited Talks and Presentations

“Regularization Paths in Generalized Method of Moments”. Winter School 2019, Delhi School of Eco- nomics, organized jointly with the Econometric Society, December 2019.

“Economic Status Prediction Using Household Images”. AI for Social Good Workshop. Google Research India, November 2019.

“Characterizing the Skills Space of Bangalore’s Informal Labour Market”

- Selected research paper presenter at Annual Conference on Economic Growth and Development (ACEGD), ISI Delhi, December 2019. - Ashoka University Economics Department Seminar, September 2019 . - IIIT Delhi Computational Social Science seminar, November 2018. - IIM Bangalore Economics seminar, July 2018.

Organizer and Presenter at Workshop on Skills in Indian Labour Market and Machine Learning for Policy, UChicago Delhi Center, June 2018.

“Machine Learning Applications to Public Policy”, IIT Delhi faculty talk, May 2018.

“Machine Learning and Crowdsourcing Applications in Social Science”, ISI Bangalore, May 2017.

2nd Annual International Conference on Computational Social Science, Northwestern Kellogg, 2016

Systems Information Learning and Optimization, University of Wisconsin Madison, 2016.

Data Science for Social Good, University of Chicago, 2016.

Machine Learning and the Social Sciences, Carnegie Mellon University, 2015.

Workshops

Computational Social Science, IIIT Delhi (June 2018).

Interactive Learning: Foundations of Machine Learning, Berkeley (2017).

Machine Learning and the Social Sciences Group, Carnegie Mellon University (2012-2015).

Advanced Causal Inference Workshop, (2013).

Early Summer Tutorial In Modern Applied Tools of Econometrics, Michigan State University (2013).

Graduate Workshop in Computational Social Science, Santa Fe Institute (2011).

3 Technical

Well-versed with programming in MATLAB, R, Python, Julia, SAS and STATA.

Experienced with crowd-sourced data collection using clients like Amazon’s Mechanical Turk.

Fluent in English, Hindi, Bengali and intermediate level in French.

References

Fallaw Sowell James Allen Evans R. Ravi Associate Professor of Economics Professor of Professor of Computer Science Tepper School of Business University of Chicago Tepper School of Business Carnegie Mellon University Carnegie Mellon University

Email: [email protected] Email: [email protected] Email: [email protected]