Experience

Experience

Capital One, Senior Manager, Data Engineering/Science

June 2014 to Current

Current toolkit:

• Python (pytest, pandas, numpy), SQL, Spark, git, GitHub.
• AWS (EC2, EMR, S3, ELB, RDS), Terraform, CricleCI
• On occasion: Java
• Always: Google-fu, Stack overflow (constantly learning, and hacking).

Projects:

• Leading a team on transaction fraud
  • Spark, Python (pyspark, SQL), h2o, hacking bash scripts
  • Building efficient pipelines
  • Coordinating priorities, leading sprints, and getting things into production
  • fighting the bad guys, and helping to minimize losses.
• Building out a Python framework for Customer valuations modeling and analysis:
  • Done in Python 3.6, numpy, pandas, numba
  • optimized for speed and focus on design (reusability, architecture, code quality)
  • cloud focused (while moving away from old SAS infrastructure as part of digital transformation)

• Lead various training efforts: Python, linux(command-line), git, Snowflake, AWS and creator of internal course to promote “effective developer habits”. Focus on git workflows, and unit testing

• product owner/lead for Canadian Enhanced Transactions (customer facing data product)
  • original project consisted of multiple Hadoop pipelines and ensemble model to match customer transactions with merchant information to display relevant merchant information to enhance customer experience. (HBase backend)
  • later revamped as a RESTful API using a Postgres backend.
• Developed digital marketing data pipelines where we interface with Google, Facebook and Bing Ads. First full blown uses cases using AWS to build a data product to manage our end to end marketing operations and optimizations. Written using Python (luigi, flask), NVD3.js (front end) with a Redshift backend.

2 Four Three, Consultant

March 2011 to May 2014

• I started my own consulting company working with old partners at RBC and Capital One. A lot of the services I provided were based on my SAS & SQL expertise.

• At Capital One I worked in the statistical valuations infrastructure team
  • helped to build out model monitoring tools and metrics to ensure models were performing as expected
  • alerting parties on data anomalies and issues which might affect models or cause degradation in production.
  • main toolset included SAS and Teradata
• At RBC I did lots of campaign analytics such as
  • A/B testing,
  • pre-post campaign analysis,
  • channel optimization tests.
  • It was very analytical and exploratory data analysis heavy role with main toolset included SAS and Teradata

Various Roles

Before February 2011

To keep this short, I’ve worked in a variety of industries, and done some interesting roles. I’ve was a Java Web Developer building apps to provide criminal history checks via govt agencies. I’ve done automated testing for Enterprise level backup software, and complex reporting applications to streamline/simplify overhead for marketing campaigns.

Education

• Bishop’s University, BSc. Computer Science (Information and Decision Science)
• Information Technology Institute, Post Graduate Diploma, Applied Information Technology (AIT)

Most of this can be found on LinkedIn