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Andy Sinclair

Assistant Professor and Chair, Business Analytics and Applied Technology | Founder, RepoReport

(302) 388-3195 · andrew.d.sinclair@wilmu.edu

Last updated: June 2026

Education

Doctor of Philosophy, Computer Science

Florida Atlantic University, Boca Raton, FL

Dissertation Advisor: Dr. Taghi Khoshgoftaar

Expected Spring 2027

Master of Science, Business Intelligence and Analytics

Saint Joseph's University, Philadelphia, PA

Spring 2020

Bachelor of Science, Criminal Justice, Magna Cum Laude

Wilmington University, Wilmington, DE

Fall 2018

Research Interests

Machine learning, applied AI, and analytics for operations research, financial decision-making, and the auto-repossession industry, with particular interest in predictive modeling, ranking, workflow optimization, and decision support systems.

Academic Appointments

Assistant Professor and Chair, Business Analytics and Applied Technology

College of Business and Technology, Wilmington University

  • Lead curriculum quality, faculty support, assessment, scheduling, and continuous improvement across Business Analytics and Applied Technology programs.
  • Contribute to IACBE accreditation and self-study activities, including standards alignment, policy and process review, learning outcomes mapping, and evidence development.
  • Designed and deployed generative AI learning modules for faculty and staff across the University, then adapted and shared them with students to expand AI literacy, responsible use, and practical prompt-engineering skills.
  • Advise students on academic planning, research development, and experiential learning while supporting program growth and cross-disciplinary collaboration.
Spring 2026–Present

Assistant Professor and Assistant Chair

College of Business, Wilmington University

  • Taught undergraduate and graduate courses in data analytics, visualization, forecasting, simulation, and optimization for business analytics.
  • Managed and interpreted student learning and program outcome measures to support academic quality and decision-making.
  • Supported faculty in teaching strategy, technology adoption, reporting, and academic review processes.
  • Rated Exemplary in Pathways to Instructional Excellence.
Spring 2023–Spring 2026

Adjunct Assistant Professor

College of Business, Wilmington University

  • Taught undergraduate courses in Big Data and Visualization and Advanced Excel for Business Analytics across multiple modalities.
  • Emphasized Tableau, data cleansing, calculations, concept mapping, VBA, Solver, data mining, and forecasting.
  • Rated Proficient in Pathways to Instructional Excellence.
Spring 2023

Adjunct Instructor

Haub School of Business, Saint Joseph's University

  • Facilitated graduate-level business analytics and business intelligence coursework with emphasis on process analysis, regression, forecasting, linear optimization, and decision analysis.
Fall 2021

Selected Publications

Sinclair, A., Billion-Polak, P., & Khoshgoftaar, T. A CatBoost-Based Ablation Study of Scheduling Heuristics in Automobile Repossession. Presented at the 27th IEEE International Conference on Information Reuse and Integration for Data Science. Accepted, pending publication.

Sinclair, A., Billion-Polak, P., & Khoshgoftaar, T. Assessing Skip-Tracing Information in Repossession Prediction Using Ensemble Learning and SHAP Analysis. IEEE Access. DOI: 10.1109/ACCESS.2026.3708534.

Shokoohyar, S., Ghomi, V., Liang, W., Sinclair, A., & Evert, C. Fuel Costs and the EV Conversation: Tracking Public Sentiment Through Social Media. 2026 Review of Business Information System, 26(1). Accepted, pending publication.

Sinclair, A. Scaling Responsibly at Adventure Works Cycles: Relational Analytics, Forecasting, and Strategic Decision Making. Sage Social Impact Essentials. Accepted, pending publication 2026.

Sinclair, A. ZIP Code Data and AI for Reducing Vehicle Repossession: A Social Impact Exercise in the Philadelphia Area. Sage Social Impact Essentials. Accepted, pending publication 2026.

Sinclair, A., Billion Polak, P., & Khoshgoftaar, T. Predictive Modeling for Auto Repossession Success: A Comparative Evaluation. Journal of Big Data. DOI: 10.1186/s40537-026-01428-2.

Sinclair, A. EcoMotors: Data-Driven Strategy for EV Market Entry. Sage Social Impact Essentials. Accepted, pending publication 2026.

Sinclair, A., Billion Polak, P., & Khoshgoftaar, T. Unlocking Machine Learning Insights into a Novel Auto Repossession Dataset. 7th IEEE International Conference on Cognitive Machine Intelligence (CogMI), Pittsburgh, PA, 2025. DOI: 10.1109/CogMI67134.2025.00057.

Billion Polak, P., Sinclair, A., & Khoshgoftaar, T. Applying Machine Learning to Classify Automobile Repossession Success. 24th IEEE International Conference on Machine Learning and Applications (ICMLA), Boca Raton, FL, 2025. DOI: 10.1109/ICMLA66185.2025.00082.

Shokoohyar, S., Sinclair, A., Cross, J., Blacksten, J., & Zachariah, B. (2025). International Recovery Systems: The Capacity Challenge of an Auto-Repossession Company. Sage. DOI: 10.4135/9781071976456.

Kidesh, Z., Nikookar, E., Shokoohyar, S., Sinclair, A., & Aminbeidokhti, K. (2024). A decision support system for customer behavior analysis through social media data mining. IEEE. DOI: 10.1109/ICCAE59995.2024.10569546.

Shokoohyar, S., Cross, J., Sinclair, A., Evert, C., & Gorizi, A. (2023). Auto Repossession Agencies: Why Are They Leaving the Industry and What Can They Do to Remain in Business. Sage. DOI: 10.4135/9781071914243.

Shokoohyar, S., Ghomi, V., Gorizi, A., Liang, A., & Sinclair, A. (2023). Impact of COVID-19 outbreak and vaccination on ride-sharing services: A social media analysis. Taylor & Francis. DOI: 10.1080/19427867.2023.2212998.

Sinclair, A. Balancing Efficiency and Risk: Machine Learning in Vehicle Loan Default Mitigation. Manuscript in preparation for ICT Express.

Conference Presentations

Shokoohyar, S., Sinclair, A., & Elsais, A. (May 2026). Leveraging GenAI for Interactive Learning: Simulating the Newsvendor Game to Explore Inventory Management Strategies. Production and Operations Management Society.

Shokoohyar, S., Sinclair, A., & Elsais, A. (February 2026). Leveraging GenAI for Interactive Learning: Simulating the Newsvendor Game to Explore Inventory Management Strategies. Southeast Decision Sciences Institute.

Sinclair, A. (October 2025). Recovering Results: Data-Driven Repossession at Recovery Group LLC. North American Case Research Association.

Sinclair, A. (November 2024). Exploring the Dynamics of the Auto-Repossession Industry: A Comprehensive Analysis and Future Directions. Decision Sciences Institute, Phoenix, AZ.

Sinclair, A. (November 2024). Is ChatGPT Better Than Human Review? A Potential Solution for Repossession Companies and Account Updates. Decision Sciences Institute, Phoenix, AZ.

Sinclair, A., Shokoohyar, S., & Cross, J. (November 2023). Auto Repossession Agencies: Why Are They Leaving the Industry and What Can They Do to Remain in Business. Decision Sciences Institute, Atlanta, GA.

Sinclair, A. (April 2022). Industry Panel. North American Repossessors Summit, Orlando, FL.

Professional Experience

RepoReport | Founder/President

Software company serving the auto-repossession industry

  • Founded RepoReport to improve repossession order intake, grading, and decision support through data-driven software products.
  • Lead strategy, product design, customer discovery, pricing, and implementation across tools that support assignment prioritization, dispatch workflow, reporting, and operational efficiency.
  • Developed ReportCard and related workflow tools that help agencies and forwarders evaluate assignments in seconds using vehicle, address, and skip-tracing information.
  • Translate operational pain points into practical analytics products for field operations, intake teams, and leadership users.
2023–Present

International Recovery Systems | Vice President

  • Drove measurable organizational change through data, reporting, and operational improvement initiatives that reduced daily operating costs.
  • Created and developed new company roles, including Human Resources and Operations Management, helping grow the company by 120% within 24 months.
  • Completed multiple acquisition projects that broadened company footprint by 33%.
2020–2023

International Recovery Systems | Information and Systems Manager

  • Oversaw product development and database administration using AWS and MySQL.
  • Implemented automated invoicing via PHP and CRON jobs, increasing productivity by 100%.
  • Created database-driven reporting tools and Tableau-connected dashboards to improve visibility and decision-making.
2019–2020

International Recovery Systems | Post Repossession Manager

  • Designed and developed company web assets using WordPress and PHP.
  • Created error-trap reporting to improve process efficiency and identify operational leaks during acquisition activity.
  • Managed profit and loss responsibilities.
2017–2019

Honors, Awards, and Recognitions

Service and Leadership

Certificates

Selected Courses Taught

Wilmington University: BBA430 Big Data and Visualization; BBA450 Advanced Visualization; BBA370 Simulation for Business Analytics; BBM319 Business Ethics; BBM370 Global Business Management; BBA305 Advanced Excel for Business Analytics; MBA7730 Simulation for Business Analytics; MBA7725 Optimization for Business Analytics; MBA7720 Forecasting for Business Analytics.

Saint Joseph's University: DSS610 Business Analytics for BI.