Hello,
I am Deepak Agrawal (pronouns: he/him/his), a Ph.D. Candidate in Information Systems and Operations Management at Goizueta Business School, Emory University. I am on the 2023-24 academic job market.
Thesis Title: "Efficiency, Resiliency, and Value Addition in Supply Chain Networks".
Research Interest: Empirical Operations, Supply Chain Networks, Impact of Technology on Operations, Ethics and Sustainability in Supply Chain, OM-Finance Interface.
Teaching Interest: Operations and Supply Chain Management, Business Analytics, Sustainable Supply Chain, Retail Operations, Supply Chain Finance.
Recent Publication:
Agrawal, D., Osadchiy, N., "Inventory Productivity and Stock Returns in Manufacturing Networks", Manufacturing & Services Operation Management (Forthcoming)
Research
Research Interest: Empirical Operations, Supply Chain Networks, Impact of Technology on Operations, Ethics and Sustainability in Supply Chain, OM-Finance Interface.
Publication:
Agrawal, D., Osadchiy, N., "Inventory Productivity and Stock Returns in Manufacturing Networks", Manufacturing & Service Operations Management (Forthcoming)
Selected for presentation at 2023 M&SOM IFORM SIG.
Best presenter award at 2023 Goizueta Doctoral Research Conference.
Working Papers:
Agrawal, D., Osadchiy, N., "Empirical Analysis of Geographical Diversification of Suppliers and Customers".
Agrawal, D., "Examining The Evidence of Value Smile Curve".
Agrawal, D., Subramanyam, K.R., Tantri, P.L., and Thirumalai, R.S., "Do Derivatives Matter?: Evidence from a Policy Experiment".
Agrawal, D., Subramanyam, K.R., Tantri, P.L., and Thirumalai, R.S., "Impact of Securities Transactions Tax on Stock Markets and Market Participants: Evidence From India".
Book Chapters/ Case Studies:
In: Pochiraju, B., Seshadri, S. (eds) Essentials of Business Analytics. International Series in Operations Research \& Management Science, vol 264. Springer, Cham.
Taori, P., Mamidipudi, S., Agrawal, D., 2019. Probability & Statistics, pp. 945–963.
Agrawal, D., Mamidipudi, S., Padmanabhan, S., 2019. Case Study: InfoMedia Solutions, pp. 873-887.
Agrawal, D., Kollipara, H.S.S., Mamidipudi, S., 2019. Case Study: AAA Airline, pp. 863-871.
Agrawal, D., Mamidipudi, S., 2019. Case Study: Ideal Insurance, pp. 847-862.
Conference/Invited presentations:
Syracuse University Whitman School of Management, Syracuse, NY, USA (Nov 2023)
Goizueta Doctoral Research Conference, Atlanta, GA, USA (Nov 2023)
INFORMS Annual Meeting, Phoenix, AZ, USA (Oct 2023)
MSOM IFORM SIG, Montreal, Quebec, Canada (Jun 2023)
POMS Annual Conference, Orlando, FL, USA (May 2023)
INFORMS Annual Meeting, Indianapolis, IN, USA (Oct 2022)
POMS Annual Conference, Virtual (Apr 2022)
POMS Annual Conference, Virtual (May 2021)
China International Conference in Finance, Xiamen, China (Jul 2016)
NSE-NYU Indian Financial Markets Conference, Mumbai, India (Jul 2015)
Technical skills:
SAS, SQL, STATA, Python, R
Tableau, Gephi
Teaching / Service
EMORY UNIVERSITY, GOIZUETA BUSINESS SCHOOL, ATLANTA, GA, USA (2019-present)
Guest Lecture: Supply Chain Management (BBA, MBA - Elective) Spring 2023
Teaching assistant:
Supply Chain Management (BBA, MBA, ExMBA- Elective), In-person Spring 2020, 2021, 2022, 2023
Instructor: Nikolay Osadchiy
Data Science for Business (MBA- Elective), In-person Spring 2023
Instructor: Panagiotis (Panos) Adamopoulos
Management Science in Spreadsheets (MBA- Elective), Remote Spring 2023
Instructor: Diwas KC
Process & Systems Management (MBA- Core), In-person & Remote Fall 2021, 2022, 2023
Instructor: Ramnath Chellappa
INDIAN SCHOOL OF BUSINESS, HYDERABAD, TS, INDIA (2013 - 2019)
Instructor (Hybrid): Designed practicum projects for data science students and mentored 250+ students to solve business problems and leverage comprehensive learning in different analytics courses- Data Collection, Text Analytics, Big Data Management, Forecasting Analytics, and Machine Learning.
Research: Received NSE-NYU research grant for working papers, published 1 chapter and 3 case studies (coauthored) in Business Analytics, assisted in editing business analytics book.
Administrative: Led Applied Statistics & Computing Lab (now renamed as Institute of Data Science), and Executive Business Analytics program as Associate Director of Research Institute, and set up a trading laboratory to promote research and teaching in Finance.
UNIVERSITY OF ILLINOIS URBANA-CHAMPAIGN, GIES COLLEGE OF BUSINESS, IL, USA (2018-2019)
Adjunct Instructor (Remote): Business Analytics II (Assisted in course development and instructions).
Teaching assistant (Remote): Data Toolkit: Business Data Modeling and Predictive Analytics (iMBA).
INSTITUTE OF MANAGEMENT AND TECHNOLOGY, HYDERABAD, TS, INDIA (2013 - 2019)
Practitioner Faculty (In-person): Business Intelligence using SAS, Predictive Modelling (MBA -Electives).
ICFAI BUSINESS SCHOOL, HYDERABAD, TS, INDIA (2008 - 2010)
Instructor (In-person): Business Research Methods (MBA -Core), Financial Management (MBA -Core).
Teaching Assistant (In-person): Financial Management (MBA -Core).
Research Scholar: Data Collection and Analysis using SAS and SPSS.
Professional
WNS GLOBAL SERVICES, BENGALURU, INDIA (2011 - 2013)
Deputy Manager-Ops, Research and Analytics (General Insurance)
Fraud Analytics (Machine Learning, Network Analysis)
Telematics (Proof-of-concept)
DENUOSOURCE INDIA PVT LTD., HYDERABAD, INDIA (2011)
Associate Business Analyst, Business Intelligence and Analytics (Retail and CPG)
Business Intelligence Reports
Campaign Analysis
KIRTANE PANDIT CONSULTING PVT. LTD. (2007)
Management Consultant
Market Research and New Product Launch (Automobile Industry)
Dissertation Committee
Associate Professor of Information Systems & Operations Management, Emory University, Goizueta Business School
Assistant Professor of Information Systems & Operations Management, Emory University, Goizueta Business School
Dean and Professor of Operations, Technology, and Information Management, Cornell University, Johnson Graduate School of Management
Goizueta Foundation Term Associate Professor of Finance, Emory University, Goizueta Business School