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

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".
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

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