Mark Nigrini

Mark Nigrini advocates for research-driven practices in the field of data analysis and anomaly detection. As an Adjunct Assistant Professor in the College of Business and Economics at West Virginia University, he brings a wealth of knowledge and expertise to his students and colleagues. His research is centered on identifying and understanding data inconsistencies through the application of sophisticated mathematical and statistical methods. With a keen interest in both public and private sector data, Mark's work aims to enhance the accuracy and reliability of data-driven decision-making processes. His innovative approach to detecting anomalies has made significant contributions to the field, providing valuable insights into the complexities of data integrity. Through his teaching and research, Mark continues to inspire a new generation of analysts and researchers to pursue excellence in the ever-evolving landscape of data science.