Machine Learning Engineer And Phd Student
CurrentPhD CAST Award partnered company. Working fulltime.Research projects including:>Network Machine Learning Approach to Financial Crime Detection>Graph-driven remediation actions using recommendation algorithms>Monitoring algorithm contextual-drift through schema-independent data quality assessment with pre-processing capabilityDevelopment projects including:Developed comprehensive knowledge graph of persons of significant control for companies in the UK using primarily open data and performing comprehensive data cleansing to assist in entity alignment, implemented queries to identify indicators of fraud including identifying overlooked companies associated with disqualified directors.Development of a POC that introduces machine learning into data quality remedition in a novel way without similar work being found anywhere else. Building a knowledge graph of data quality issue components, identifying their underlying issues, recommendation algorithms prioritizing based on maximizing corrective impact and visualization of network involved to lower technical need of business users.Developed along with a colleague an InvestNI funding awarded project that was well received by InvestNI stakeholders. An end-to-end integration of companies house and business grant data that presents how covid and associated grants have influenced companies with an interactive PowerBI dashboard with GIS intergration.Developing scripts to turn discrete data quality issues into tracked continuous data that enriches data quality reporting – and creation of additional metrics for data quality of tracked issues.
