Deepak Agrawal

Hello,

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

Research Interests: Empirical Operations; Supply Chain Networks; OM-Finance Interface; Healthcare Network; Sustainability in Supply Chain.

Upcoming research talks:

INFORMS Annual Meeting, Sun., Nov. 1, 2026, 8:00–9:15 AM, Moscone South, Room 205, Session SA27.
DSI Annual Conference, Sun., Nov. 22, 2026, 10:00–11:30 AM, SF Marriott Marquis, Foothill G2.

Publication:

Agrawal, D., & Osadchiy, N. (2024). Inventory Productivity and Stock Returns in Manufacturing Networks. Manufacturing & Service Operations Management, 26(2), 573-593.

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

Click here for VC Smile dashboard for American companies.

Click here for Supply Chain Explorer - a working project to analyze supply networks through visualization. (Designed by Kit Chulajata, a former MSBA student at CMU Tepper School of Business)

Research

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.

Under review:

Agrawal, D., Allon, G., Osadchiy, N., "Value Capture in Supply Networks".
1. - Dashboard to observe the value chain shape in an extended supply chain.
Chua, J., Agrawal, D., Akan, M., Correa, T., Wu, A., Bambha, K.M., Biggins, S.W., Novelli, P.M., "Using MELD 3.0 for Predicting Emergent and Non-Emergent TIPS Outcomes".

Work-in-Progress:

Agrawal, D., Osadchiy, N., "Empirical Analysis of Geographical Diversification of Suppliers and Customers".
Verma, S., Agrawal, D., Tayur, S., Hosseininasab, A., "Price Transparency and Hospital--Insurer Bargaining: A Three-Channel Model with Evidence from Negotiated Rate Data".

Book Chapters/ Case Studies (Published):

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:

2026

- DSI Annual Meeting, San Francisco, CA, USA (Scheduled)
- INFORMS Annual Meeting, San Francisco, CA, USA (Scheduled)
- M&SOM, Boston, MA, USA
- POMS Annual Conference, Reno, NV, USA
- Network Science and Economics, Miami, FL, USA

2025

- POMS Annual Conference, Atlanta, GA, USA
- INFORMS Annual Meeting, Atlanta, GA, USA

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
M&SOM 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 Interests: 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, OH-MBA) Sp2025, Sp2026, Sp2027*

Operations and Supply Chain Analytics (MSBA) Sp2025, Sp2026, Sp2027*

Operations and Supply Chain Analytics (OH-MSBA) Su2025, Su2026, Su2027*

Regression Analysis (Undergrad) Sp2027*

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

Operations Management Seminar (PhD) Sp2023

Teaching assistant:

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

- - Instructor: Nikolay Osadchiy

Supply Chain Analytics (MSBA) Sp2024

- - Instructor: Nikolay Osadchiy

Social Network Analytics (MSBA) Sp2024

- - Instructor: Abraham Oshotse

Data Science for Business (MBA- Elective) 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 instruction).
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 a business analytics book.
Administrative: Led Applied Statistics & Computing Lab (now renamed to ISB 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.