Rose Williams Email & Phone Number | Immediate goal: To develop predictive analytics that can be easily embedded in applications and used via cloud computing services and mobile devices by large corporations and small businesses. I am using my expertise in designing and implementing predictive analytic systems(financial and QA for IBM's world-wide portfolio of activities) and designing/implementing an analytics platform that support algorithms applicable for general business use. Experience: Prediction modeling and advanced data analysis in corporate financials, and implementing automated statistical analytic systems. Data analysis and mining against enterprise operational data, quality assurance data, insurance data, medical records, and other. Specialties: Business intelligence algorithm design and implemention for enterprise systems(implementation of data mining, predictive analytics,statistics, data analysis, data preparation since 1998), Java development (since 1997), SQL development(since 1980s), experienced in Intelligent Miner, R, SPSS (including python invoking spss apis), Matlab, Statistica: Swing, AWT, middleware, mobile device app development, speech UI, c++, and working with .Net implementation now.

Rose Williams

Immediate goal: To develop predictive analytics that can be easily embedded in applications and used...
Hawthorne, New York, United States

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Rose Williams’s Email rwilliams3048@cs.com

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Rose Williams’s Location Hawthorne, New York, United States

Rose Williams’s Current Industry Ibm Tj Watson Research Center

Rose Williams’s Prior Industry Various Sw Contracting Companies

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Senior Technical Staff Member: Lead technical direction in predictive analytics

2010-08-01 00:00:00 - Present

Senior Software Engineer

1985-05-01 00:00:00 - 1994-12-01 00:00:00

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Rose Williams is a Immediate goal: To develop predictive analytics that can be easily embedded in applications and used via cloud computing services and mobile devices by large corporations and small businesses. I am using my expertise in designing and implementing predictive analytic systems(financial and QA for IBM's world-wide portfolio of activities) and designing/implementing an analytics platform that support algorithms applicable for general business use. Experience: Prediction modeling and advanced data analysis in corporate financials, and implementing automated statistical analytic systems. Data analysis and mining against enterprise operational data, quality assurance data, insurance data, medical records, and other. Specialties: Business intelligence algorithm design and implemention for enterprise systems(implementation of data mining, predictive analytics,statistics, data analysis, data preparation since 1998), Java development (since 1997), SQL development(since 1980s), experienced in Intelligent Miner, R, SPSS (including python invoking spss apis), Matlab, Statistica: Swing, AWT, middleware, mobile device app development, speech UI, c++, and working with .Net implementation now.