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Data Science, Research Computing

$75/hr Starting at $500

I have a broad and deep technology background including: • 30+ years of experience translating business and research objectives into analytical plans and technology solutions • Experience computing at and beyond the Petabyte scale • Turning analytical results into recommendations and actions Turning analytical results into recommendations and actions • Predictive model development, monitoring, and tuning • Sourcing relevant external data for mining projects ranging from long term weather forecasts to pork belly futures • Supervised model development including traditional regression techniques as well as leading machine learning tools such as MARS, CART, Random Forests, and Neural networks in R, SPSS, and Salford Predictive Miner • Unsupervised customer and donor clustering based on behavioral, geo-demographic, and psychographic features using latent class analysis, k-means, two-step, and hierarchical clustering techniques • Reporting, visualization, and simulation from the simple, in Microsoft Office, through complex, interactive dashboards in Tableau and custom web-apps • C-suite and Faculty relationship development and management • Manager, director, and executive-level staff management experience • Excellent verbal and written communication skills (please see attached writing samples) • Extensive public speaking experience including leading training sessions and technology conference panels • Comfortable working across multiple operating systems and versions including Microsoft Windows (3.x – 10), Mac OS X, several Linux distributions, IBM AIX, HP-UX, Sun Solaris, BSD variants, and Netware • Solid understanding of TCP/IP networking, virtualization technologies, and cloud infrastructure • Proficient in C, bash, PHP and Perl; can read and debug C++, FORTRAN, Python, and R • Extensive knowledge of research technology, managing large data, and analysis techniques • Hands-on experience with containerization technologies including Docker and Singularity, and working understanding of container orchestration using Kubernetes • A unique knack for “figuring out how to make things work” I am currently the lead for the Michigan Medicine High-Performance Computing team. We succeed by being nimble, consistently building creative solutions to solve customer problems. We win when our customers win.

About

$75/hr Ongoing

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I have a broad and deep technology background including: • 30+ years of experience translating business and research objectives into analytical plans and technology solutions • Experience computing at and beyond the Petabyte scale • Turning analytical results into recommendations and actions Turning analytical results into recommendations and actions • Predictive model development, monitoring, and tuning • Sourcing relevant external data for mining projects ranging from long term weather forecasts to pork belly futures • Supervised model development including traditional regression techniques as well as leading machine learning tools such as MARS, CART, Random Forests, and Neural networks in R, SPSS, and Salford Predictive Miner • Unsupervised customer and donor clustering based on behavioral, geo-demographic, and psychographic features using latent class analysis, k-means, two-step, and hierarchical clustering techniques • Reporting, visualization, and simulation from the simple, in Microsoft Office, through complex, interactive dashboards in Tableau and custom web-apps • C-suite and Faculty relationship development and management • Manager, director, and executive-level staff management experience • Excellent verbal and written communication skills (please see attached writing samples) • Extensive public speaking experience including leading training sessions and technology conference panels • Comfortable working across multiple operating systems and versions including Microsoft Windows (3.x – 10), Mac OS X, several Linux distributions, IBM AIX, HP-UX, Sun Solaris, BSD variants, and Netware • Solid understanding of TCP/IP networking, virtualization technologies, and cloud infrastructure • Proficient in C, bash, PHP and Perl; can read and debug C++, FORTRAN, Python, and R • Extensive knowledge of research technology, managing large data, and analysis techniques • Hands-on experience with containerization technologies including Docker and Singularity, and working understanding of container orchestration using Kubernetes • A unique knack for “figuring out how to make things work” I am currently the lead for the Michigan Medicine High-Performance Computing team. We succeed by being nimble, consistently building creative solutions to solve customer problems. We win when our customers win.

Skills & Expertise

Computer EngineerCustomer ServiceData AnalysisData ManagementLinuxManagementModelingPHPResearchScienceWriting

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