Past Event! Note: this event has already taken place.
7 Real-life Data Science Problems and How to Solve Them
February 6, 2019 at 10:00 AM to 12:00 PM
|Location:||5345 Herzberg Laboratories|
Abstract: There are many blog posts, opinions, and marketing buzzwords out there about the data science profession, but what’s the *real* experience of a working data scientist? We’ll keep this workshop exciting by chatting through some day-to-day problems you may encounter when working in the data science field and how to solve them. Some problems really *do* require complex machine learning solutions, while others are simpler and can be solved by bash scripting or just simply listening to people.
Andy Clapson, Lead, Data Science for Slice Labs will present real-life data science problems and solutions, as well as providing his take on what it takes to be successful in a new and changing industry.
Bio: Andy Clapson leads data science at Slice Labs, an Ottawa-based insurtech startup that is using data, machine learning, and applied psychology to reimagine and reinvent insurance. Andy has more than ten years experience working in the data field, and cut his teeth working at Statistics Canada. Before joining Slice, he led a data science team at a financial management company. And like everyone else in the data science world, he is constantly learning new things and doing his best to keep up with a rapidly evolving technology landscape.