Simon Monk
About Simon Monk
Simon Monk is the Lead Machine Learning Engineer at Conexiom, where he has worked since 2021. He has extensive experience in data science and machine learning, with a background in various roles across multiple companies, including IBM Canada and Boeing.
Work at Conexiom
Simon Monk has been serving as the Lead Machine Learning Engineer at Conexiom since 2021. In this role, he applies his expertise in machine learning to develop data-driven solutions that enhance business processes. His responsibilities include collaborating with various business users to create data products that meet organizational needs.
Education and Expertise
Simon Monk has a diverse educational background. He studied Data Science at Johns Hopkins Bloomberg School of Public Health from 2016 to 2017. He also holds a Master of Management in Operations Research from The University of British Columbia, completed in 2014. Additionally, he earned a Bachelor of Commerce and studied Software Engineering at the University of Victoria, with studies spanning from 2006 to 2011. His technical competencies include programming languages such as Python, R, and Java, as well as tools like SQL, Spark, and Tableau.
Background
Simon Monk has a varied professional background that includes roles in different sectors. He began his career as a Software Technician at Wenco International Mining Systems in 2011. He later worked as a Market Analyst at IBM Canada in 2010 and 2011. His experience also includes positions as a Business Optimization Analyst at Interfor and a Data Scientist at Boeing. He briefly served as a Senior Machine Learning Engineer at Patriot One Technologies Inc. in 2021 before joining Conexiom.
Technical Skills and Competencies
Simon Monk possesses a wide range of technical skills relevant to machine learning and data analysis. He is proficient in Git version control, Jira, and MS Office programs. His analytical toolkit includes advanced tools such as Hadoop, Hive, and AMPL Mathematical Optimization Programming. He has expertise in deep learning, particularly in time series forecasting and natural language processing, and is experienced in both Kanban and Scrum frameworks for agile project management.
Professional Experience
Throughout his career, Simon Monk has held various positions that have contributed to his expertise in machine learning and data analysis. His role as a Data Scientist at Boeing from 2017 to 2021 allowed him to develop skills in anomaly detection and statistical forecasting. He has also collaborated with a range of business users, from senior executives to maintenance workers, to develop effective data products, showcasing his ability to bridge technical and business domains.