Data Science and Machine Learning On-Ramp with Jon Tupitza

Join us for our first meeting of 2019, and welcome Jon Tupitza and enjoy his 3 hour workshop, Data Science and Machine Learning On-Ramp.

8:30AM - 9:00AM - light breakfast and networking
9:00AM - 12:00PM - Main Session

Topic - Data Science

Session Summary: This 3-hour workshop will begin by giving students a practical understanding of hypothesis testing and inferential statistics as they apply to performing predictive data analytic methods including classification, regression and clustering. Armed with these fundamentals students will gain hands-on experience by using Python in Azure Jupyter Notebooks to perform common data science tasks including exploratory data analysis, feature engineering, principal component analysis, and the training and evaluation of machine learning models. Students will then learn how “deep learning” with Microsoft’s Cognitive Toolkit (CNTK) builds upon the these concepts and practices to deliver advanced artificial intelligence capabilities. Finally, students will learn how machine learning models can be trained and operationalized using SQL Server Machine Learning Services.

Speaker info:

Jon Tupitza - Data Scientist - Data Architect, Buchanan & Edwards https://www.linkedin.com/in/jontupitza/

With two decades in the IT services industry, I have solid functional, technical and organizational skills that enable me to quickly identify and direct the development of data-centric solutions that fulfill my clients’ mission requirements. I’m client focused and assert strong ownership over my solutions as I urgently drive them to completion. I’m also very sales driven, actively pursuing opportunities to expand consulting deliveries and generate product sales.

I specialize in architecting and delivering data warehouse and predictive analytic solutions in a heterogeneous data platform and software environment; both on-premises and in the cloud. I'm experienced in performing statistical data analysis and data visualization using R, Python, SQL, Excel and Power BI. I’m a seasoned data warehouse architect; fluent in relational and dimensional data modeling, SQL development, ETL process development, and master data management. I have extensive experience with the architecture, physical configuration, implementation and administrative support of both relational and NoSQL database management systems. I also have deep experience in the architecture and development of custom software projects; being fluent in object-oriented analysis and design, and software development lifecycle methodologies.