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

  • Developed solution design and built framework for applying anomaly detection algorithms to financial time series data at scale in Spark on AWS (pyspark on EMR, Lambda, Athena, Glue, Postgres)
  • Managed team of 5 Big Data developers and machine learning engineers (onshore and offshore) in development and productionalization of real-time model scoring in Apache Nifi, Spark, and Cassandra
  • Solution design and capability development for real-time streaming data and analytics (Lambda architectures)
  • Analyzed terabytes of clinical, financial, and appointment data on Big Data Cloud environment (Hive, RStudio, Postgres) and advised client on applications of machine learning to clinical use cases
  • Assessments of current state and development of guiding principles for people, process, and technology improvements in DevOps, security, multi-tenancy, and data governance & modeling for financial services clients
  • Workshops, requirements gathering, design, and development of Tableau visualizations for financial services and other clients

PriceWaterhouseCoopers (PwC)

Senior Associate, Consulting & Deals Jan 2016 - Feb 2017

Advanced analytics & data visualization consulting in retail, government, financial services.

  • Executed design and build of cost-to-serve model for CPG supplier encompassing company-wide data from manufacturing to customer profitability
  • Visualized inventory and sales data of medium-sized kitchen and bath retailer uncovering insights for inventory rationalization and purchasing strategy
  • Built dashboards for troubleshooting and quality control of scientific survey data using Spotfire
  • Mapped and visualized store, competitor and customer demographic data for retail, telecom, and food & beverage clients using Tableau
  • Analyzed lottery and gaming customer behavior and demographic data using R and WebFocus Business Intelligence Platform
  • Modeled rare-event financial time series prediction problem using R, python (numpy / sklearn)


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.