Data Scientist, Analytics and Data Visualization Expert
I’m excited and honoured to be part of the #BCTECH Summit from March 14 – 15 in Vancouver. More than 200 speakers will be sharing their knowledge and expertise on how tech is transforming the way we work, live and play. Curated sessions in a cross-sector of industries will...
This chart was originally published on SportStats dot Click.
This chart highlights how comfortable Chelsea FC was in its run to English Premier League title in season 2014-2015. A couple of facts:
This chart was originally published on SportStats dot Click.
Chelsea won its 4th title in season 2014/2015. This was 23rd season since English Premier League was established. While still far away from accomplishments of Manchester United (13 titles), the way Chelsea was dominating the league this season was really...
Our Ruby team will be taking part in CODE 2015 - The Canadian Open Data Experience. From the team list, we seem to be the only team from Kelowna registered so far.
It is a 48-hour hackathon with data nerds and innovators across Canada will compete to build the...
I am so honored to having been recognized as one of top performers in the largest data science program in the world put together by Johns Hopkins Univeristy and Coursera - Data Science Specialization.
As such, I was on of the folks profiled on Simply...
Canadian Government Open Data portal is the source of huge volumne of publicly available datasets collected by various federal and provincial departments and agencies.
In this post, I show how to acquire several datasets, clean up the data, and combine them into a single, clean dataset ready to be...
Since April 2014 I’ve been taking part in Data Science Specialization, put together by Coursera and Johns Hopkins University.
The specialization consists of nine courses that cover concepts and tools used in the entire scientific data analysis process, from asking the right questions to making statistical...
Wordiction is a text prediction app that predicts the next word to be typed in, based on previous text. It is developed in the scope of the Capstone Project for Coursera / John Hopkins Data Science Specialization.
It suggests three words most likely to be the next in the given...
World Cup 2014 is an R application developed on Shiny server. It presents in tabular format detailed team and player stats during World Cup 2014, obtained from fifa.com website.
The app highlights detailed metrics at team and player level in the following categories: