Software Engineer @ From October 2013 to Present (2 years 3 months) Data Engineering Intern @ Optimized existing ETL pipelines; improved CPU usage and latency by as much as
800%
Designed and prototyped new pipeline for collecting identity metrics
Streamlined and backfilled existing pipeline framework to add additional metrics
and improve efficiency
Wrote extensible testing script to automate table comparison From August 2012 to December 2012 (5 months) Machine Learning Developer @ Designed and developed a classification-based customer exposure forecaster;
applied SMBO to identify useful technical indicators
Created client volume regression forecasting model used to identify high value
clients
Applied SMBO to improve profitability of existing hedging and price skewing
models
Transitioned machine learning production code from MySQL to DB2 platform From January 2012 to April 2012 (4 months) Application Developer @ Built a complex database feature using Oracle and SQL Server
Exceeded expectations and performed at the level of a full time developer
Implemented several key aspects of a demo to a prospective wealth management
client
Developed client-facing features and fixed 50+ launch-blocking and high priority
bugs within a large and complex Scheme codebase
Fulfilled demanding functional, code quality, performance and scalability
requirements From January 2011 to August 2011 (8 months) Junior Web Developer @ Overhauled and redeveloped the Virtual Campus Tour, an interactive 3D model of
campus
Wrote backend and frontend scripts and forms using PHP and MySQL
Performed better and adjusted faster than previous co-op students From May 2010 to August 2010 (4 months) Junior Web Developer @ See above From May 2009 to August 2009 (4 months)
Bachelor of Computer Science, Honours Computer Science, Co-operative Program @ University of Waterloo From 2008 to 2013 Sir James Dunn Eric Noland is skilled in: MySQL, Microsoft SQL Server, Databases, Oracle, Java, Python, SQL, Software Development, Eclipse, Agile Methodologies, HTML, Software Engineering, C, Linux, XML, Machine Learning, Big Data, Hive