Jinhang Jiang

HOMEPAGE

Data Scientist at Walmart Inc.

RESEARCH INTERESTS

Demand Forecasting, Social Network Analysis, Natural Language Processing, Healthcare Information System, Statistical Machine Learning

EDUCATION

2021.05 Arizona State University, Tempe (AZ)

2020.07 University of Kansas, Lawrence (KS)

RESEARCH EXPERIENCE

Shandong University of Finance and Economics, The Industrial Development Research Institute
2023.01 - present Senior Researcher - Computational Economics

University of Kansas, Business Analytics
2021.05 - 2023.05 Volunteer Researcher - Analytics, Information, and Operations Management

Arizona State University, Adidas Actionable Analytics Lab
2020.10 - 2021.05 Student Researcher - Social Media Analytics

University of Kansas, Business Analytics
2020.01 - 2020.5 Research Assistant - Analytics, Information, and Operations Management

PEER-REVIEWED JOURNAL PAPER (Count: 4)



2023 Jiang J., Srinivasan K. (in press) “A Discrete Bayesian Network for Analyzing Hospital Discharge Data.” Int. J. Data Science https://doi.org/10.1504/IJDS.2024.10058157

2023 Srinivasan K., Jiang J. “Examining Disease Multimorbidity in U.S. Hospital Visits Before and During COVID-19 Pandemic: A Graph Analytics Approach.” ACM Transactions on Management Information System. https://doi.org/10.1145/3564274

2022 Jiang, J., Srinivasan, K. “MoreThanSentiments: A text analysis package.” Software Impacts. https://doi.org/10.1016/J.SIMPA.2022.100456

2021 Jiang J., Srinivasan K. “Comparing Pregnancy and Childbirth-related Hospital Visits in Arizona Before and During COVID-19 Using Network Analysis.” Journal of Digital Science. https://doi.org/10.33847/2686-8296.3.2_2

REFERENCED CONFERENCE

2023.12 Srinivasan K., Jiang J. “Leveraging Deep Language Models for Forecasting Firm Value Using Financial Disclosures,” The 33rd WORKSHOP ON INFORMATION TECHNOLOGIES AND SYSTEMS (WITS 2023)

2023.12 Jiang et al. “Can Conversations on Reddit Forecast Future Economic Uncertainty? An Explainable Deep Learning Approach,” International Conference on Information Systems (ICIS 2023)

2023.10 Jiang et al. “Dynamic Network Modeling of Retail Data Reveals Opportunities for Cross-Selling and Demand Forecasting,” 7th Informs Workshop on Data Science (WDS 2023)

2023.09 Jiang et al. “Forecasting Future Economic Uncertainty with Sentiments Embedded in Social Media,” 16th International Conference on Social Computing, Behavioral-Cultural Modeling & Prediction and Behavior Representation in Modeling and Simulation (SBP-BRiMS 2023)

2021.12 Srinivasan K., Jiang J. “Capturing Enduring Effects of the COVID-19 Pandemic on Hospital Visits in U.S. Using Graph Modeling”, Health Information Technology Symposium (HITS 2021)

PREPRINTS

WORKING PAPERS

ML PACKAGE

2022 Jiang J., Srinivasan K. “MoreThanSentiments”, available at https://doi.org/10.5281/zenodo.6853352

INVITED TALK & PRESENTATION

ACADEMIC SERVICE

Number of papers reviewed: 40
Number of grant-applications reviewed: 20

Grant Reviewer

PC Member:

Journal Manuscript Reviewer:

Conference & Workshop Reviewer:

INDUSTRY WORK EXPERIENCE

McKesson Corporation
2024.02 - present Sr. Data Scientist - McKesson Technology

Walmart Inc.
2023.10 - 2024.02 Sr. Data Scientist - Transportation
2021.09 - 2023.10 Data Scientist - Merchandising, Inventory Management & Fulfillment, and Generative AI

Shanghai JunGe Management Consulting Co. Ltd
2021.09 - present Chief Technology Officer
2019.08 - present Co-Founder & Supervisor

Fathom Loop Inc.
2022.02 - 2022.06 Senior Machine Learning Engineer - UX & Customer Segmentation

2021.08 - 2022.02 Senior Research Associate - Data Enhancement and Algorithm Development

TEACHING EXPERIENCE

University of Kansas, Business Analytics, Overland Park (KS)
2020.02 - 2020.04 Teaching Assistant of Certificate in Analytics (SQL & Business Intelligence)

FREELANCING EXPERIENCE

Data Science Writer (26 articles, 600+ followers, 200K+ views)
2020.05 - present Writing Collections: https://medium.com/@jinhangjiang

REFERENCES

Karthik Srinivasan

Victor Benjamin