My E-Portfolio based on work carried out on my Msc Program on Artificial Intelligence and Machine Learning at the University of Essex.
Mixed Methods approach - quantitative analysis of fraud detection performance metrics combined with qualitative interviews capturing implementation challenges in financial institutions.
Primary: Semi-structured interviews with fraud analysts, surveys of financial crime professionals, case study analysis Secondary: Academic databases (IEEE Xplore, ACM), regulatory reports (FCA, PSR), industry documentation
Technical Skills: Statistical analysis, interview design, survey construction Existing Strengths: Engineering background, financial crime expertise, machine learning knowledge, anti-money laundering systems experience
Saunders, M., Lewis, P. and Thornhill, A. (2012) Research Methods for Business Students. 6th edn. Pearson Education Limited.
Dawson, C. (2015) Projects in Computing and Information Systems: A Student’s Guide. Harlow: Pearson.