Donald Pine Email and Phone Number

Currently serving in a dual role as part of two teams:AI Product Lead - DEMAND at Area 120(Google's in-house start up incubator) - Leading the Data Science team for a cool new initiative focused on Media and Entertainment space to help enhance the planning, pricing, and marketing of live eventsMachine Learning Lead - Serving as Machine Learning Lead on key Google Cloud Artificial Intelligence engagements. Collaborating with AI and ML Product leaders to prioritize features on GCP's Data Science and AI Product map. Helping Cloud Sales teams build momentum using Google's AI strengths. Advised multiple internal teams and external client teams on ML Ops maturity framework and designing and implementing advanced analytics solutions in production using tools like Kubeflow, Airflow

Lead a team of Microsoft Cloud Architects with the focus on Machine Learning/AI, Data Science, Advanced Analytics and Big Data solution offerings. This was a technical sales role with both pre-sales and post-sales engagement with key enterprise clients. In this role, my team was responsible for 8 key enterprise accounts in southern California and achieved more than 300% average growth in cloud consumption across accounts.

Lead engagements with key enterprise customers in SoCal to help them build innovative AI and Data solutions and helped increase Azure cloud consumption. Designed and implemented multiple analytics solutions from conventional ML models implemented in python or ML Studio to more advanced deep learning models implemented through common DL frameworks like TensorFlow.

Part of Deloitte’s Information Management and Data Analytics practice. Led multiple enterprise wide solution implementations for Deloitte’s Fortune 500 clients with focus on Media and Entertainment industry. As a Manager at Deloitte, worked directly with client executives and internal Deloitte leadership to plan, execute and deliver strategic IT programs. Conducted solution architecture evaluations for key cloud vendors including AWS and Azure.