
Predictive Analytics and Data Mining Expert
San Francisco Bay Area

Predictive Analytics and Data Mining Expert
San Francisco Bay Area
Management and hands-on development of software products and IT solutions in data mining, text mining, search, and analytics. Data-mining model testing and behavior characterization, data extraction and preparation, statistical analysis.
Developed data mining capabilities spanning end-to-end software development life cycles using Clementine, SQL, Java, SPSS. Managed and led cross-functional teams of 40 and off-shore development in India, Pakistan, Armenia and Israel, managed multi-million dollar budgets. Developed Sun Solaris OS kernel Device Driver Interface (DDI) software in C as Staff Engineer. Advised on data mining market trends and needs, as member of the SPSS Market Advisory Council. Researched, published and presented internationally.
Semiconductor-design and software-development complexity, effort, productivity, and schedule-risk. Computer system reliability and failure-risk. Service and support escalations risk. Failure root cause analysis, and service and diagnostics text-mining. Inventory cost optimization, and fraud detection.
(Privately Held; 11-50 employees; Computer Software industry)
2006 — Present (2 years)
Delivered analytics platform, including data collection, data quality, preparation, and mining. Modeled IC and software design and development effort, technology maturity, productivity, complexity. End-to-end project scope from market requirements analysis, to research, specification, architecture, development, testing, deployment, maintenance and support. Expanded product portfolio to open new markets and grow revenue. Leadership to developers, data miners and researchers in US, Pakistan, Armenia. Resolved customer needs with account executives. Presented to customers such as Intel, Infineon, and Philips NXP, managed joint projects with customer engineering teams in India.
(Public Company; 10,001 or more employees; JAVA; Computer Hardware industry)
2002 — 2005 (3 years)
Delivered predictive solutions for the Sun Connection, a connected business with revenues of $250M pa. Managed data-mining production applications including ETL, data preparation, scoring, reporting, web portal, support. Managed staff of 5. Managed external vendors in US and Israel, $1M budget. Developed analytics engineering strategy, and data operations strategy for data mining product line. Created multi-terabyte enterprise data warehouse, and mathematical predictive models. Managed research collaboration with Sun Labs, University of Western Ontario, Stanford University.
(Public Company; 10,001 or more employees; JAVA; Computer Hardware industry)
1999 — 2001 (2 years)
Migrated homegrown global CRM solution with 10K users to Siebel. Achieved annual efficiency gains of $50M through improved workflows and productivity. Integrated collaborative defect management between Sun Microsystems and open source community. Managed 40 cross-functional resources, $10M budget. Implemented management and engineering processes, prototyping, project planning, steering committee, user group, deployment. Recognized for team building.
(Public Company; 10,001 or more employees; JAVA; Computer Hardware industry)
1998 — 1999 (1 year)
Resolved OEM contractual requirements with Siemens AG, valued at $13M, coordinated product sustaining activities, resolved customer issues, designed Solaris kernel availability management capabilities.
Ph.D., Computer Science
Earned Ph.D. summa cum laude, collaborative research with IBM Toronto Lab.
M.Sc., Computer Science, Business Management
Researched Software Engineering technology. Minor in Business Management.
Data Mining
5 Patents in predictive analytics, multi media, object-oriented programming.
Book chapter “Business Impact of Predictive Analytics”.
Sun Microsystems Software Innovation Award.
IBM Advanced Research Fellowship.
Chaired collaborative industry/academia research council.
Reviewed technical books, scientific papers and magazine articles.
Ph.D. Summa Cum Laude, Dean’s Honors.