KDnuggets Consulting – expert advice on Business Analytics, Data Mining, and Data Science

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Gregory Piatetsky-Shapiro Experience Education Presentations & Tutorials Recent Publications Contact: [my first name] at kdnuggets.com, with a brief description of the issues.

Gregory Piatetsky-Shapiro, Ph.D., is a well-known expert in the field of business analytics, data mining, and data science. He is the founder of KDD - Knowledge Discovery and Data Mining Conferences, a co-founder and past Chair (2005-2009) of ACM SIGKDD, (professional association on Knowledge Discovery and Data Mining), and President of KDnuggets.

He has extensive experience in successfully applying data mining and business analytics to e-commerce, banking, telecom, biomedical, pharma, and other fields. Gregory worked with companies in US, Europe, and Latin America. Gregory also served as an expert witness in several cases and testified in a federal court.

Here are some recent projects in Business Analytics, Biomedical and Pharma, and expert witness work.

Business Analytics

• Developed a system for finding likely unlicensed / fraudulent use for a major software vendor
• Developed predictive models for conversion from trial version to purchase
• Evaluated existing product quality metrics; identified shortcomings and proposed new quality metrics
• Analyzed usage logs to develop user/persona clustering for a major software vendor; was applied to most products and and helped guide product positioning.
• Performed a product stability analysis and identified commands, modules, and environment elements that have increased risk of instability
• Analyzed usage of similar products to determine the effective command "boundary" that separates the products
• Developed test suites and algorithms for an on-line recommendation systems for a mid-size e-tailer
• Analyzed call patterns and found cost-savings and recommendations opportunities for a large telco services company.
• Used data mining for fraud detection in on-line auctions
• Analyzed user command logs, patterns, and crash hotspots for a leading CAD company.
• Analyzed web usage logs for a large web publisher to improve visitor conversion.
• Developed a mini-course on web mining and web log analysis.
• Developed link analysis and customer grouping algorithm for a telephone company.
• Participated as an invited expert in Shell workshop on technology impact in 2025.
• Developed non-payment and attrition models for child support for a state agency.
• Presented a clinic on Data Mining Methods to a major global bank.
• Audited data use in ecommerce company and identifying new business opportunities.
• Developed value-attrition and optimized cross-sell models for a global financial institution.
• Developed attrition models for credit products for a major US bank.
• Analyzed e-tail operations and identifying cross-sell opportunities and shopping cart abandonment.
• Created mortgage default models for a major Latin American bank.
• Analyzed reserve needs for a major car lease financing company.
• Analyzed interest rate sensitivity for a major insurance company.
• Performed retail customer segmentation and Cross-sell modeling for a major European bank.
• Developed customer attrition models for a GTE Wireless (now part of Verizon)

Expert Witness work

• Examined a collection of business intelligence related patents and identified companies that potentially infringe on these patents.
• Served as an expert witness in a case involving search engine advertising
• Served as an expert witness and testified in a federal court in a case involving identifying potential auction fraud.
• Served as an expert witness in a case involving real-time data mining and analytics.
• Served as an expert witness in a case involving patents on data mining and web mining.

Biomedical, Pharma, and Genomic Applications

• Analyzed memory drug effectiveness and relationship between pharmakinetics and pharmadynamics
• Analyzed several proteomic (Mass Spec) datasets for biomarkers of a neurological disease; found a number of novel diagnostics.
• Worked with a large pharmaceutical company to develop a model for predicting drug effectiveness.
• Analyzed DNA microarrays and found a new gene marker for a type of brain tumor.
• Developed Data Mining Templates and Case Studies for Microarray Data Mining; obtained results which were comparable or better than previously reported.
• Analyzed healthcare data for GTE (now part of Verizon)