This is coupled with Hamman's strong Software Engineering experience with Object-Oriented Programming (OOP), Rapid Application Development (RAD), Unified Modeling Language (UML), Agile & Scrum Methodologies, and Design Patterns including Model-View-Controller (MVC).
Hamman is also familiar with Azure, TensorFlow, Theano, Keras, SciKitLearn, Gensim, and other machine learning platforms. He has worked with various database technologies such as MySQL/MariaDB, MongoDB, and Microsoft SQL Server, among others.
Machine Learning Consultant, Stream Technologies Inc., Canada, 2017
Technical consultation for machine learning and data science methodologies in large-scale predictive solutions.
Data Science Intern, Resolver Inc. (formerly PPM 2000), Canada, 2013-2014
Developer for business intelligence and data mining tools for large-scale incident management software and database.
Web Developer, Canadian Writing Research Collaboratory, Canada, 2013-2015
Programmer of web application for geo-spatial and temporal visualization of large-scale historical literary research.