Name: Sam Polsky
- Data Mining
- Modeling & Analytics
- Web applications
- System integration
- Legacy application augmentation and replacement
Education/Credentials: Duke University, 2001 – Policy Studies, Markets and Management. Winner – 2001 Duke Startup Challenge, for Sundance Genetics. Member – SAE
Notable Clients & Employers:
- Fidelity Investments
- Duke University
- IASL: International Association for STEM Leaders
- National Institute for the Commercialization of Clean
As one of the ASPE instructor team’s most senior experts, Sam Polsky does more than just teach. Sam leads teams of subject-matter experts and instructional designers to design and deliver in-depth, extended technology training curricula to some of the largest companies in the world. With a central focus on data engineering, analytics, data science and the enterprise application life cycle, Sam's team is able to deliver expertise solving sophisticated skills gaps in some of the most challenging enterprise technology environments. Sam brings instructional capability on a broad array of enterprise data infrastructure: Oracle data environments, various SQL flavors, big data stacks, ETL practices, and application integration for all of the above. Sam also brings critical analytics and data science skills to the individuals and teams that manage and provide services on top of data assets in the enterprise. This combination of infrastructure and IT expertise combined with data science and analytics capability gives teams a valuable blended skill set unifying infrastructure with data analysis applications.
As a trainer and subject-matter expert:
As a trainer and presenter, Sam's style is engaging, dynamic and relatable. It is not just the depth of his technical expertise that makes him a great trainer; it is his ability to keep his technical learners highly engaged while stimulating excitement around what is possible using today's technology tools and environments.
At a large-scale financial institution, Sam and his team developed a six-week program of classes, assessments, and project scenario assignments to onboard young engineering associates recruited from leading Computer Science programs universities nationwide. At ADP, Sam and his team developed and taught a similar program for new hires in the area of application development and systems analysis. Training in these areas revolved around enterprise database management and infrastructure administration, combined with integrated analytics, big data practices, and service design and delivery to other areas of the technology organization.
Selected specific technology competencies:
- DB: SQL, PLSQL (Oracle), TSQL (SQL Server) queries, Hadoop, ETL, Informatica, programming, design, architecture
- Technologies: NoSQL, Big Data, DevOps, SharePoint, CSS/HTML5
- DevOps and Lean Technology Management practices
- Enterprise agility and scaled agile practices