Joseph C Sremack, CISA, CFE, CIPP/US Expert Witness
Curriculum Vitae

Data and Source Code Forensic Analyst

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Specialties & Experience of this Expert Witness

General Specialties:

Technology and Software Engineering

Keywords/Search Terms:

data analysis, data science, source code analysis, version control, data acquisition, class action certification, GIS and geospatial data, wage and hour analysis, systems controls, biometric data, online trackers, consumer privacy, Python, C++, Java, Javascript, C#, AI, artificial intelligence

Education:

Master of Science, Computer Science, North Carolina State University; Bachelor of Arts, Computer Science and Philosophy, The College of Wooster

Years in Practice:

20+

Additional Information

Joe Sremack is a forensic data and software analyst with over 20 years of experience examining technology and business operations. He has conducted analysis in numerous high-profile cases and investigations, including the Bernie Madoff and Allen Stanford Ponzi schemes. Mr. Sremack applies his expertise to address complex issues involving the collection, analysis, and reporting of large, complex data and the design and use of software. Mr. Sremack performs complex data analysis, system and business process analysis, complex data identification and management, data-intensive business process failure and underperformance issues, internal and government investigations, litigation, and regulatory compliance implementation and response. He develops software and assesses source code in numerous programming languages and performs data extraction and analysis involving virtually every major enterprise data system, including various ERPs and cloud-based data services. His analysis of data and software is applicable to issues found in: * Class action certification * Software intellectual property disputes * Labor and employment litigation * Consumer privacy litigation relating to online tracking and PII/PHI issues * Artificial intelligence design and use * Commercial litigation involving large sets of data for fact development * Electronic discovery where large, complex data systems are potentially responsive * Neutral expert roles where questions are present relating to system operations and/or data accessibility Mr. Sremack is the author of Big Data Forensics and a frequent contributor to professional and academic organizations. He is an active member of the Association of Certified Fraud Examiners (ACFE), IEEE, International Association of Privacy Professionals, and Information Systems Audit and Control Association (ISACA).