KEY ACHIEVEMENTS

  • Designed and developed a Financial Risk Surveillance Platform for Banks and Financial Intelligence Units (FIUs), integrating supervised machine learning, anomaly detection, rule-based AML frameworks, network (graph) analytics, and trade-based money laundering (TBML) indicators into a unified risk scoring and alert prioritisation system. The platform features a capacity-based alerting mechanism, analyst dashboard, entity-level drill-down, and exportable intelligence outputs, providing a scalable and institution-ready solution for financial crime detection and risk-based supervision.
    Live application: Financial Risk Surveillance Platform
  • Pioneered, coordinated, and led the development of automated data pipelines, a Macroeconomic Statistics Database, and a Consumer Price Survey (CPS) post-harvest data monitoring and control system; and data processing and analytical framework at ZIMSTAT, substantially improving data processing efficiency, reducing turnaround times, and strengthening the timeliness of official statistics.
  • Designed and implemented an Augmented Inflation Nowcasting and Forecasting System in Python, integrating machine learning, PCA-based factor models, and high-frequency indicators to improve inflation prediction accuracy and policy responsiveness. Live application: https://factor-augmented-inflation-nowcasting-and-forecasting.streamlit.app/
  • Designed and developed an advanced Factor-Augmented Inflation Forecasting Framework in Python, incorporating principal component analysis, econometric modelling, machine learning, regime analysis, scenario simulation, and policy-support analytics for central bank-grade inflation forecasting and macroeconomic surveillance.
    Live application: Enhanced Factor-Augmented Inflation Forecasting Framework
  • Successfully led the development of an Integrated Macroeconomic Database and Automated Modelling Framework(February 2025).
  • Spearheaded the creation of a comprehensive off-site Bank Stress and Stability Testing Framework.
  • Managed teams in the development and publication of high-quality macroeconomic indicators, ensuring data accuracy and policy relevance.
  • Co-authored multiple peer-reviewed economic research papers focused on macroeconomic stability, GDP, and inflation.
  • Developed a User’s Guide for Applied Econometrics and Forecasting Using R.
  • Successfully led the development of an Integrated Macroeconomic Database and Automated Modelling Framework. «««< HEAD

  • Developed a Guide to External Sector Modelling, which serves as a conceptual and methodological precursor to the implementation manual on external sector modelling. It was developed to enhance the Reserve Bank of Zimbabwe’s analytical toolkit by introducing a more structured and empirically informed framework for forecasting and scenario analysis within the External sector statistics and Analysis department of the Economic Research, Policy and Modelling division of the Bank.

  • Developed a Guide to External Sector Modelling, which serves as a conceptual and methodological precursor to the implementation manual on external sector modelling. It was developed to enhance the Reserve Bank of Zimbabwe’s analytical toolkit by introducing a more structured and empirically informed framework for forecasting and scenario analysis within the External sector statistics and Analysis department of the Economic Research, Policy and Modelling division of the Bank.

    5ba75eb (Initial commit for GitHub Pages deployment)