About Me

Hey, I'm Myles and I'm passionate about data.

In particular, I love working with large, complex, and interesting data sets and deriving insights using techniques which range from simple (basic data visualization, descriptive statistics) to advanced (advanced visualization, inferential statistics, data mining and machine learning).

I am knowledgeable about the concepts, technologies, and techniques now put together under the umbrella of data science (e.g. Big Data, unstructured data, real-time / streaming data & architectures, machine learning) and am excited about the application of these to solve interesting problems, answer difficult questions, and uncover fascinating insights in ways which has never been possible before.



Big Data Consultant Feb 2017 - Present

Big Data Analytics, Data Science, and Data Visualization

PriceWaterhouseCoopers (PwC)

Senior Associate, Consulting & Deals Jan 2016 - Feb 2017

Advanced analytics and data visualization consulting for clients in retail, government, and financial services.


Consultant Sep 2016 - Dec 2015

Independent analytics consulting

Eyereturn Marketing

Data Scientist Jul 2015 - Sep 2015

  • Implemented similarity detection algorithm at scale for click fraud detection using Pig + Python
  • Performed ETL and analysis on large data sets from HDFS (impression, click, cross-channel)


Senior Associate, Marketing Strategy & Analysis Jan 2014 - July 2015

A/B Testing & Digital Optimization SME, Data Science consulting and delivery

Associate, Marketing Strategy & Analysis Jan 2013 - Dec 2013

Web Analytics, Optimization and Testing (A/B & MVT), and Analytics Strategy Consulting for Fortune 50 Retailer

Aon Hewitt

Setup Configuration Specialist, Defined Benefit Sep 2011 - Oct 2012

Configuration and testing for DB insurance systems


Quality Assurance Test Analyst (Contract) Nov 2010 - Sep 2011

Data quality and testing in financial systems and credit risk

Natural Resources Canada

Geomagnetic Hazard Analyst Apr 2009 - Aug 2010

Geomagnetic hazard assessment through mathematical modeling, numerical computing, and statistical analysis of large volumes of historical sensor data

Scientific Assistant, Geomagnetism Mar 2008 - Apr 2009

Surveying, instrument calibration, data management, numerical and scientific computer programming


University of Melbourne

Graduate Diploma in Education, Mathematics 2007

University of Waterloo

Bachelor of Mathematics (Applied Mathematics) 2006

  • Differential Equations (ODEs/PDEs, Numerical Methods)
  • Numerical / Scientific Computing (MATLAB)


My skill set is primarily focused on the toolsets and methodologies of data science, Big Data analytics, and data visualization and the application thereof.

I have expertise / extensive experience in
R, Python (sklearn, numpy, pandas, matplotlib, jupyter, etc.), Spark, Hadoop, Hive, SQL, Tableau
I am knowledgeable of / have experience with
Amazon Web Services (AWS) (S3, Athena, Glue, EMR), Google Cloud Platform (GCP) (Storage, Dataproc, BigTable/BigQuery), Cassandra, Apache Nifi, Scala, Devops (Git, Jenkins, Docker, etc.)

Get In Touch.