I design and deliver high-level upskilling programs and technical masterclasses for corporate partners, government ministries, and international development agencies. My training frameworks bridge the gap between advanced economic theory and hands-on toolkits, empowering teams to handle big data, master statistical software, and apply rigorous quantitative modeling to real-world policy and financial challenges. Through structured, case-driven learning, I equip professionals with the practical competencies required to drive data-informed institutional strategies.
Applied Data Analytics, Python, Stata, and R for Economists
I equip professionals and research teams with the specific coding toolkits necessary to manage big data pipelines, automate analysis, and deploy frontier data science methods within economic research.
For example: (1) Hands-on masterclasses in Python, Stata, and R tailored for economic data analysis, macroeconomic forecasting, and processing massive structural datasets, (2) Specialized modules on supervised machine learning and predictive data analytics designed specifically for evaluating economic risks, and (3) Applied coding workshops focusing on regression, classification, and gradient descent applications for structural policy research.
Economic Modelling, Impact Evaluation, and Advanced Microdata Analysis
I build institutional capacity in designing and executing rigorous quantitative simulations, ex-ante policy tests, and robust mixed-method evaluations on disaggregated datasets.
For example: (1) Specialized training in household micro-level data analysis tailored specifically for gender analysis and equity tracking, (2) Intensive workshops on building computational tax-benefit microsimulation models to map the distributive impacts of fiscal policy changes on household welfare, and (3) Technical seminars on experimental and quasi-experimental impact evaluation designs to accurately audit large-scale public and social interventions.