Over the past 10 years, I have been most passionate and successful in both academia and industry by teaching others and making them data analysis and product experts; researching and prototyping new technologies and tools related to Python, R, Spark, and Hadoop; creating and delivering technical content such as presentations, sample projects, webinars, blog posts, documentation, and tutorials; and talking with customers about the problems they are trying to solve while helping them deliver value to others.
In addition to my data science, product management, and teaching experience, I have contributed to roles in DevOps, engineering, automated testing, solution architecting, product marketing, and documentation.
I’m deeply familiar with data science workflows used by both open-source users and enterprise organizations, including the stages for dependency management, loading data, exploratory analysis, visualization, machine learning, and model deployment.
