Head of Machine Learning - Motley Fool

• Stewarded over multi-million dollar budget, coordinated company wide ML events, spoke on Motley Fool’s behalf as an ambassador for the Foolish brand, brought in leading CEOs and Founders in the AI industry as partners and facilitated a close relationship with executives in the AI industry.

• Facilitated team roadmap and hiring, prioritized Machine Learning projects through tradeoff evaluation, managed company

  wide Machine Learning and Data programs using portfolio management principles, conducted experimentation to prove data-

  driven product optimization while analyzing and incorporating customer feedback, and oversaw multimillion dollar budget.

• Lead Machine Learning Modeler that participated in all steps of the Machine Learning lifecycle for large scale

  Recommendation Engines, Deep Learning Models, Regression Models, and Quantitative Models.

• Managed cross-team execution of Cloud Migration from On-Prem servers and integrated Streaming servers into a Data

  Lakehouse structure for enhanced ML performance, Data democratization, and Data Enablement.

• Founding team member that grew the Machine Learning team from 1 to 7 team members with the following roles: ML

  Engineers, Data Scientists, and Project Managers while leading end-to-end Machine Learning product lifecycle.

• Performed as a career coach at the Motley Fool and represented the company at national AI conferences.

• Lead Modeler that built and deployed a Hybrid Recommendation System?NLP model using the Alternating Least Squares

  Matrix Factorization technique with PySpark.

• Worked with leadership to establish AI Ethical Standards and brought on consultants to create Ethical Product Review Standards

  for AI models and with business leaders to create company wide AI and Data literacy programs.