Connie Outwater

Connie Outwater is a seasoned data and AI technical leader, who specializes in designing, leading, and delivering scalable, efficient, and secured solutions. She has extensive expertise in architecting, developing, and deploying data and artificial intelligence (AI) solutions that meet business and IT needs. Connie has an excellent track record of building and growing lasting customer relationships that produce significant business impacts through empathy, dedication, and transparency. She is also an effective communicator who regularly teaches artificial intelligence (AI) and advanced analytics classes to equip and enable customers and teammates.

Connie has studied at various prestigious educational institutions such as UCLA Extension, Johns Hopkins Bloomberg School of Public Health, and Dakota State University. Her Core Technical Skills include Microsoft Azure data, advance analytics, machine learning & AI SDKs, Microsoft Visual Studio, Amazon Web Services, SQL, NoSQL, Hadoop, SSIS, SSRS & ETL, Visual Basic & C#, PowerShell, JavaScript, Python & R, Windows 10/8/7/Vista/XP & Server, MacOS, and Linux. She also has experience in configuration and release management through GitHub, Jenkins, Azure DevOp & Azure MLOp.

Connie has worked in various organizations such as Google, where she serves as a Data Analytics Specialist, Cloud Customer Engineering. She has also worked as an Instructor at UCLA Extension, Senior Cloud Solution Architect at Microsoft, Senior Principal Engineer at Western Digital, Senior Application Developer at Pacific Life Insurance Company, and Principal Programmer Analyst at Ceridian.