Career Advice Panel – Statistical Society of Canada’s Annual Student Conference

I am excited to go to Brock University in St. Catharines, Ontario, and speak at the Statistical Society of Canada‘s (SSC’s) Annual Student Conference on Saturday, May 28, 2016!  This one-day conference will be a chance for statistics students from all over Canada to share their research with each other, network with industry professionals, and get career advice from the career advice panel.  I will be one of 3 speakers on this panel, and I look forward to sharing my advice and answering the students’ questions.  Read the Final Program Booklet to get the schedule and learn about the backgrounds of all speakers at this conference.

If you will attend this, conference, please feel free to come and say “Hello”!

ssc-logo

This event will occur before the 2016 Annual Conference of the Statistical Society of Canada.

 

Spatial Statistics Seminar in Toronto – Tuesday, May 21, 2013 @ SAS Canada Headquarters

I volunteer with the Southern Ontario Regional Association (SORA) of the Statistical Society of Canada (SSC) to organize a seminar series on business analytics here in Toronto.  The final seminar of the 2012-2013 series will be held on Tuesday, May 21 at SAS Canada Headquarters.  If you’re interested in attending, please email seminar.sora@gmail.com with the following subject to get a confirmation: Registration: Seminar by BBM Canada 

Speakers: Derrick Gray and Ricardo Gomez-Insausti – BBM Canada 

Title: The Power of the Latitude and Longitude – An Application of Spatial Techniques to Audience Measurement Data

Date: Tuesday, May 21, 2013 

 

Location: 

SAS Headquarters Office 

Suite 500

280 King Street East

Toronto 

 

Networking: 2:00 – 2:30 pm 

Introductory Remarks: 2:30 – 2:45 pm 

Seminar Time: 2:45 – 3:45 pm 

Discussion and Networking: 3:45 – 5:00 pm 

Read the entire post to see the abstract and the speakers’ biographies.

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Presentation Slides: Machine Learning, Predictive Modelling, and Pattern Recognition in Business Analytics

I recently delivered a presentation entitled “Using Advanced Predictive Modelling and Pattern Recognition in Business Analytics” at the Statistical Society of Canada’s (SSC’s) Southern Ontario Regional Association (SORA) Business Analytics Seminar Series.  In this presentation, I

– discussed how traditional statistical techniques often fail in analyzing large data sets

– defined and described machine learning, supervised learning, unsupervised learning, and the many classes of techniques within these fields, as well as common examples in business analytics to illustrate these concepts

– introduced partial least squares regression and bootstrap forest (or random forest) as two examples of supervised learning (0r predictive modelling) techniques that can effectively overcome the common failures of traditional statistical techniques and can be easily implemented in JMP

– illustrated how partial least squares regression and bootstrap forest were successfully used to solve some major problems for 2 different clients at Predictum, where I currently work as a statistician

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