Employer-designed job simulations completed through Forage, alongside academic distinctions earned during the MSc.
January 2026, Lloyds Banking Group (via Forage)
Built a Random Forest churn model reaching ROC-AUC 0.82; preprocessed data in pandas to handle missing values, encode categoricals and scale features; tuned hyperparameters with GridSearchCV and ran feature-importance analysis to derive retention insights.
January 2026, TATA (via Forage)
Ran exploratory data analysis using GenAI tools to assess data quality and risk indicators; proposed a predictive framework for customer delinquency risk; designed an agentic-AI collections strategy incorporating ethical-AI principles and regulatory compliance.
January 2026, Citi (via Forage)
Reviewed minimum capital-adequacy ratios and calculated risk-weighted asset values using Federal Reserve Board methodology; analysed the potential impact of Omicron on 2022 credit-card sales; summarised KPI movements in an executive briefing for the Country Treasurer team and CFO.
February 2026, University of Leicester
1st position (highest marks) out of 75 students in MA7444 Excel for Data Science.
February 2026, University of Leicester
Distinction, ranked #3 out of 260 students in MA7023 Statistics for Data Science.
2025, Government of Botswana
Full government scholarship awarded to the nation's highest-performing students.