Deepak Agrawal

Hello,

I am Deepak Agrawal (pronouns: he/him/his), Visiting Assistant Professor in Operations Management at Carnegie Mellon University - Tepper School of Business.

Research Interest: Empirical Operations; Supply Chain Networks; Interface of Operations, Technology, and Finance; Sustainability in Supply Chain.

Publication:

Agrawal, D., Osadchiy, N. (2023) "Inventory Productivity and Stock Returns in Manufacturing Networks", Manufacturing & Service Operations Management, 26(2): 573-593.

Click here for dashboard on inventory productivity and upstreamness of US manufacturers.

Research

Research Interest: Empirical Operations, Global Supply Networks, Technology-Operations-Finance Interface, Ethics and Sustainability in Supply Chain.

Publication:

Agrawal, D., Osadchiy, N. (2023) "Inventory Productivity and Stock Returns in Manufacturing Networks", Manufacturing & Service Operations Management, 26(2): 573-593.

Selected for presentation at the 2023 M&SOM IFORM SIG.
Best presenter award at the 2023 Goizueta Doctoral Research Conference.
Dashboard on inventory productivity and upstreamness for US manufacturers.

Work-in-Progress:

Agrawal, D., Osadchiy, N., "Empirical Analysis of Geographical Diversification of Suppliers and Customers".
Agrawal, D., "Examining the Evidence of Value Smile Curve".
Agrawal, D., Chellappa, R.K., Parasurama, P., "Inventory Management and Service Network Optimization using Downstream Retailer’s Transactions Level Data.
Agrawal, D., Chellappa, R.K., Parasurama, P., "Analysis of Efficiency Improvement from LLM based Chatbot".

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.

1. Taori, P., Mamidipudi, S., Agrawal, D., 2019. Probability & Statistics, pp. 945–963.
2. Agrawal, D., Mamidipudi, S., Padmanabhan, S., 2019. Case Study: InfoMedia Solutions, pp. 873-887.
3. Agrawal, D., Kollipara, H.S.S., Mamidipudi, S., 2019. Case Study: AAA Airline, pp. 863-871.
4. Agrawal, D., Mamidipudi, S., 2019. Case Study: Ideal Insurance, pp. 847-862.

Conference/Invited presentations:

2024

- INFORMS Annual Meeting, Seattle, WA, USA*
- Carnegie Mellon University, Tepper School of Business, Virtual/Pittsburgh, PA, USA
- Montana State University, Jake Jabs College of Business & Entrepreneurship, Bozeman, MO, USA
- Goizueta Doctoral Research Conference, Atlanta, GA, USA
- University of Dayton, School of Business Administration, Dayton, OH, USA
- California State University, David Nazarian College of Business and Economics, Northridge, CA, USA
- Penn State University, Smeal College of Business, State College, PA, USA
- University of Hawai’i, Virtual/Hilo, HI, USA
- BITS School of Management, Mumbai, MH, INDIA
- Yeshiva University, New York, NY, USA

2023

- Tilburg University, Tilburg School of Economics and Management, The Netherlands
- Syracuse University, Whitman School of Management, Syracuse, NY, USA
INFORMS Annual Meeting, Phoenix, AZ, USA
MSOM IFORM SIG, Montreal, Quebec, Canada
POMS Annual Conference, Orlando, FL, USA

2022

INFORMS Annual Meeting, Indianapolis, IN, USA
POMS Annual Conference, Virtual

2021

POMS Annual Conference, Virtual

Technical skills:

SAS, SQL, STATA, Python, R, Gephi
Tableau, Gephi

Teaching / Service

Teaching Interest: Operations/Supply Chain Management, Network Analysis, Business Analytics, Global Supply Chain.

CARNEGIE MELLON UNIVERSITY, TEPPER SCHOOL OF BUSINESS, PITTSBURGH, PA, USA (2024-present)

Instructor:

Supply Chain Management (MBA, PT-MBA) Sp2025*

Operations and Supply Chain Analytics (MSBA) Sp2025*

EMORY UNIVERSITY, GOIZUETA BUSINESS SCHOOL, ATLANTA, GA, USA (2019-present)

Instructor:

TechTool: Getting Started with Tableau Sp2024

Guest Lecture:

Supply Chain Management (BBA, MBA - Elective) Sp2023

Teaching assistant:

Supply Chain Management (BBA, MBA, ExMBA- Elective), In-person Sp2020, 2021, 2022, 2023, 2024

- - Instructor: Nikolay Osadchiy

Supply Chain Analytics (MSBA), In-person Sp2024

- - Instructor: Nikolay Osadchiy

Social Network Analytics (MSBA), In-person Sp2024

- - Instructor: Abraham Oshotse

Data Science for Business (MBA- Elective), In-person Sp2023

- - Instructor: Panagiotis (Panos) Adamopoulos

Management Science in Spreadsheets (MBA- Elective), Remote Sp2023

- - Instructor: Diwas KC

Process & Systems Management (MBA- Core), In-person & Remote Fa2021, 2022, 2023

- - Instructor: Ramnath Chellappa

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).

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.

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

Nikolay Osadchiy (Advisor)

Associate Professor of Information Systems & Operations Management, Emory University, Goizueta Business School

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Research

Teaching / Service

Professional

Dissertation Committee

Nikolay Osadchiy (Advisor)

Tian Chan

Vishal Gaur

Gonzalo Maturana