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)
- Master of Science in Business Analytics
- Applied Project: “Investigating Influencer Endorsements for Adidas: A Data-Driven Exploration”
2020.07
University of Kansas, Lawrence (KS)
- Bachelor of Science in Business Analytics
- Capstone Project: “A Network Framework for Exploratory and Predictive Analysis with IMDb Data”
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
Jiang J., Srinivasan K., “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)
WORKING PAPERS
- Jiang et al. “Are Managerial Discussions in Firm Disclosures Predictive of Firm Value: A Deep Learning Driven Investigation,” to be submitted to the International Journal of Information Management
- Jiang et al. “Temporal Network Analysis in Quantification of Product Complementarity in Retail,” to be submitted.
- Bandeli K., Jiang et al. “Self-Supervised Adaptive Model Selection Frameworks for Demand Forecasting,” to be submitted
ML PACKAGE
2022
Jiang J., Srinivasan K. “MoreThanSentiments”, available at https://doi.org/10.5281/zenodo.6853352
INVITED TALK & PRESENTATION
- The Artistic Journey in Data Science: From Junior to Senior, Information Technology Seminar Series, CSCI 2001, Southern Arkansas University, April 2024
- Learn Data Science with A Production Mindset, AI Club, University of Kansas, April 2023
- Learn Data Science with A Production Mindset, Information Technology Seminar, Computer Science Department, Southern Arkansas University, March 2023
- Guest Speaker and Panel Discussion, MSBA BSAN750 Machine Learning, University of Kansas, November 2022
- The Future of Data Science and Business Analytics, AI Club, University of Kansas, September 2021
ACADEMIC SERVICE
Number of papers reviewed: 37
Number of grant-applications reviewed: 20
Grant Reviewer
- NSF Reviewer 2023
PC Member:
- ER 2024, 43rd International Conference on Conceptual Modeling
- FinNLP 2024, Joint Workshop of the 7th Financial Technology and Natural Language Processing (FinNLP), the 5th Knowledge Discovery from Unstructured Data in Financial Services (KDF), and The 4th Workshop on Economics and Natural Language Processing (ECONLP)
- ICWSM 24, 18TH INTERNATIONAL AAAI CONFERENCE ON WEB AND SOCIAL MEDIA
- W3PHIAI-24, 8th International Workshop on Health Intelligence in conjunction with AAAI 2023.
- FinNLP 2023, 5th Workshop on Financial Technology and Natural Language Processing in conjunction with IJCAI-2023.
- W3PHIAI-23, 7th International Workshop on Health Intelligence in conjunction with AAAI 2023.
- FinNLP 2022, 4th Workshop on Financial Technology and Natural Language Processing in conjunction with EMNLP 2022.
- CADSCOM 2022, 4th Colloquium on Analytics, Data Science and Computing – a chapter conference approved by ACM.
Journal Manuscript Reviewer:
- Journal of Open Source Software
Conference & Workshop Reviewer:
- Midwest United States Association for Information Systems Conference (MWAIS)
- International Conference on Informatics & Data-Driven Medicine (IDDM)
- IEEE International Conference on Computer Science and Information Technologies (CSIT)
- International Conference on Information Systems (ICIS)
- Conference on Empirical Methods in Natural Language Processing (EMNLP)
- International Conference on Artificial Intelligence in Medicine (AIME)
- Conference on Artificial Intelligence (AAAI)
- International Conference on Recent Advances in Computing Sciences (RACS)
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
- Assistant Professor
- Department of Business Analytics
- School of Business, University of Kansas
- Email: karthiks@ku.edu
- Relationship: Supervisor, Mentor, Professor
Victor Benjamin
- Assistant Professor
- Department of Information Systems
- W.P. Carey School of Business, Arizona State University
- Email: Victor.Benjamin@asu.edu
- Relationship: Professor, Applied Project Supervisor