I'm an independent consultant based in Toronto, Canada. I specialize in training and programming services in areas such as event-driven architeciture, microservices, cloud-enablement, and machine learning enablement.
I'm available for contract roles in the following locations: remote (with availability for up to 50% travel), or on-site in Waterloo, Montreal, Halifax, or Moncton.
I'm also open to full-time roles at the senior/leadership level.
Last updated: May 13th, 2019
We sent out a survey to the members of ReactiveTO on the type of content they wanted to see in 2019.
Classical software is primarily based around the notion of decision trees. Any programmer who has coded an if-else-then statement can understand the basics of data science.
When success is ultimately achieved, give the credit to others. There will be time for you to internalize your own impact on the success of a project.
Marketing done right should give back to the community more than it takes from it. Marketing is not advertising. Let's discuss the difference.
According to Gartner’s Nick Heudecker, 85% of data science projects fail. This is a staggering ratio of failure that deserves consideration from your organization before undertaking your next data science initiative!