Commencement - May 3 & 4

Plan for your visit to campus to celebrate your graduate. All event details are located HERE. 

Dr. Karina Kasztelnik

Adjunct Professor
Dr. Karina Kasztelnik

Dr. Kasztelnik develops and applies algorithms and models to key business metrics used to improve operations or resolve business problems in a variety of decision-making settings. She analyzes complex and unstructured data sets, using advanced statistical techniques including machine learning and distributed graph methods, to support data-driven decision-making. She is actively involved in the research, design, and development of data visualization and visual analytics for research and commercial applications for some of the world’s largest companies. Her solutions range from rich, interactive visualizations for mobile devices to large multi-touch, multi-screen installations and web-based analytical solutions for data-driven business applications and decisions. Dr. Kasztelnik’s network analytics techniques have facilitated the discovery of new business insights and opportunities. She has had numerous articles published in academic and professional journals.

In 2015 Dr. Kasztelnik played a leadership role for the first historical innovative Excellence of Big Data Analytics project, to identify the risks and red flags associated with yet-undiscovered trends in federal tax audit compliance.  In addition, she supported the leadership of the U.S. Treasury research department with her modern data analytics business solutions for the understanding and interpretation of findings to be applied in revising international tax audit practices and finance and tax policies. Her work involved research, analysis, and modeling of diverse organizational data. Dr. Kasztelnik is the 2017 sole recipient of the prestigious Commissioner's Honorary Award Gold Medal from the U.S. Department of Treasury for all work done.  Dr. Kasztelnik is the 2021 recipient of the prestigious Research Excellent Award and World-Class Recognition. Dr. Kasztelnik is the 2017 recipient of the prestigious Harvard University project award in the Big Data Analytics. Dr. Kasztelnik is the 2022 nominated for Editor in Chief of the Journal E-Learning and Digital Media - SAGE Pub Ltd.

  • Post-Doc. Study (Big Data Analytics) Harvard University  2017
  • Ph.D. Applied Management & Decision Science 2012
  • Walden University, College of Management and Technology
  • MBA Grand Canyon University 2008
  • Data Analytics
  • AI, Machine Learning
  • Business Intelligence
  • Cybersecurity
  • Blockchain
  • Cloud Computing
  • Project Management
  • Edgeington, S. & Kasztelnik, K. (2023). The Ethical Considerations of Business Artificial Intelligence Exploration Through the Lenses of the Global AI Technology Acceptance Model – Journal of Strategic Innovation and Sustainability, 19(1), 13-22.
  • Kasztelnik, K. & Campbell, S. (2023). The Future of Business Data Analytics and Accounting Automation – The NY CPA Journal 
  • Edgeington, S. & Kasztelnik, K. (2023). The Study on the Impact of Business Artificial Intelligence Innovation on Fair Value Investments in the United States – Journal of Applied Business and Economics, Vol. 25(7), 80-100.
  • Kasztelnik, K. & Karmanska, A. & Campbell, S. & Izadi, S. (2023). Smart Blockchain Contracts and Firm Value: An Interrupted Time Series Model. – Southern Business and Economic Journal, Vol. 45, No. 2.
  • Kasztelnik, K. & Abdulraham, A. (2023). Analysis of Cryptoassets, Blockchain Investor Protection, and U.S. Market Risks Using the Mlogit Classifier Model, Journal of Business and Economic Studies, 27(1), 23-35.
  • Kasztelnik, K. & Moncayo, L. (2022). Small Business Owners’ Agreeableness and its Influence on the Financial Risk Faces by Banks through the Application of Distributed Graph-Based Data Mining in the United States, Journal of Business and Accounting, Vol. 15, No. 1.
  • Kasztelnik, K. & Abdulraham, A. (2022). The Investigation of the Transformational Leadership Style Managers and Impact on the Financial Business Performance with the Modern Distributed Graph Parallel Coordinates Algorithm in the United States, Journal of Applied Business and Economics, Vol. 24(1).
  • Moncayo, L. & Kasztelnik, K. (2022). The Distinctiveness of Small Business Owners Openness, and Conscientiousness with the Influence on Financial Institution Risk Management with the Logistic Regression Analysis in the United States, Journal of Accounting and Finance, - Vol. 22(1), 1-19.
  • Luncheon, A. & Kasztelnik, K. (2021). The Perception of Entrepreneurship Managers and Impact on the Modern Business Strategies with the Modern Natural Language Processing Analysis in the United States, Journal of Management Policy and Practice, - Vol. 22(2), 1-13.
  • Kasztelnik, K. (2021). Innovative Bank Market Risk Measurement Strategies Using a Modern Machine Learning Approach: A Novel Agglomerative Clustering Model Analysis, Journal of Business and Accounting, Vol. 14, No. 1, 16-28.
  • Kasztelnik, K. & Brown, E. (2021). Microeconomic Resilience and Influence on Accounting Innovation with the Polythetic Cluster Modeling Techniques in the United States, Journal of Accounting and Finance, Vol. 21, No. 2, 69-81.
  • Chukwu, A. & Kasztelnik, K. (2021). The Small and Medium Scale Business Owner’s Lived Management Experience on Small Business Financing Strategies in the Development Country with the Deep Machine Learning Analysis Techniques, Journal of Leadership and Management, Vol 18, 48-60.
  • Kasztelnik K. (2021) Innovative Predicting Risk Model for Systemically Important Financial Institutions with Artificial Intelligence in the United States, Journal of Business and Economics, Vol. 25(2), 1-11.
  • Delany, N. & Kasztelnik, K. (2020). Social Media Utilization with Data Analytics to Support Financial Management Decisions in Canada. – Journal of Leadership and Management, Vol 1, No 16, 33-50.

Contact

202.321.3023

Office

Remote