Radical Data Science is one of my prime channels for keeping a pulse on the accelerated pace AI industry. I offer news, trends and observations centered around GenAI, LLMs and agentic AI. As an influencer and a data scientist, I'm able to keenly amplify messages throughout the AI ecosystem.

Holds the role of Data Scientist for AMULET Analytics (www.amuletanalytics.com). AMULET Analytics provides professional services in data science, data analysis, machine learning, predictive analytics and visualization for a broad range enterprises and organizations in a variety of industries.

I am teaching for the UCLA Extension Computer Science Department. As of April 2019 (Spring Quarter), I am teaching the "Introduction to Data Science" COM SCI X 450.1 course that is part of the Data Science Certification program.

Open Data Science, most commonly known for their Open Data Science Conferences (ODSC) West, India, Europe, and East. More recently, the company is providing a wealth of technical resources such as articles dealing with data science tools, modeling (machine learning), AI, deep learning, data viz, data transformation, academic research, and so much more. I make regular contributions as a data scientist.

As Editor-in-Chief of insideAI News, Dan oversees editorial direction for the highly recognized news destination for the AI industry. Inside HPC Media operates insideHPC and insideBIGDATA. insideHPC’s crisp, uncluttered style and filtered, short format news site has grown steadily since it was launched in 2006. Today, it is one of the most popular news and information portals for stakeholders interested in High Performance Computing, supercomputing, and emerging high-end computing technologies. insideBIGDATA was launched in 2011 as a news outlet that distills news and events in the world of big data, data science, machine learning, AI and deep learning.

Working with product development group on AI-enabled software engineering tools.

Sole technical reviewer for "Machine Learning with R, 4th Edition" 978-1-80107-132-1. Reviewed entire manuscript include text, theory and code.

Under the umbrella of the UC Irvine Extension data science program, I conduct on-site corporate training courses in: R programming, the data science process, machine learning. Past clients include Toyota Financial Services and Southern California Edison.

Serving as Community TA staff for the Coursera "Practical Machine Learning" course taught by Dr. Jeff Leek of Johns Hopkins University. Helping enrolled students with coursework involving data analysis, data modeling, data munging, exploratory data analysis, statistical methods, supervised & unsupervised machine learning, and visualizations.

Served as Community TA staff for the Coursera "Data Analysis" course taught by Dr. Jeff Leek of Johns Hopkins University. Helped enrolled students with coursework involving data analysis, statistical methods, supervised & unsupervised machine learning, and visualizations.

Served as Community TA staff for the Coursera "Computing for Data Analysis" course taught by Dr. Roger Peng of Johns Hopkins University. Helped enrolled students with coursework involving R programming.

Wrote various feature articles and regular columns for a premier publication of the database community, Data Based Advisor Magazine, Clipper Advisor, Internet Advisor, and e-Business Advisor.