- Liaised with a variety of stakeholders (both technical and non-technical) to design and develop a comprehensive data-driven scorecard for home loan organisations, resulting in an accurate ranking of different types of home loan applicants.- Cleaned & transformed raw data, applied different types of data imputation and transformation to create different machine learning models using SAS Viya pipelines.- Developed user-centric data visualisations using SAS Viya, enhancing data interpretation and decision-making.- Applied various advanced machine learning models to generate accurate predictions and forecasts of future home loan applicants’ demographics - including logistic regression, decision trees, random forests, SVM, gradient boosting, Naïve Bayes, LightGBM,XGBoost, and KNN.- Cultivated strong teamwork, project management, and leadership skills through active involvement in high-stakes projects and cross-functional collaboration.