Ayodele Idowu

• Conduct quantitative research in environmental and climate economics using R, Python, and Stata on carbon pricing, renewable energy, and sustainability • Design and run empirical studies in energy and environmental policy, including data collection, econometric analysis, and research outputs • Apply panel data, IV, and causal ML methods • Conduct literature reviews in environmental, agricultural, and trade policy

• Conducted quantitative research and economic analysis on sustainability projects, improving efficiency by 15% and revenue by 10% • Built econometric and ML models for environmental and energy economics, raising predictive accuracy from 67% to 82% • Prepared research reports and policy briefs supporting evidence-based climate and sustainability policy • Built NLP and time-series models predicting donor attrition, reducing churn by 40% across major NGOs

• Communicated environmental policy research to diverse stakeholders, translating empirical results into clear recommendations • Led multi-country environmental economics research, consolidating data and driving a 14% annual revenue increase • Built KPIs and predictive models in Python and Tableau, reducing medication non-adherence by 30% • Partnered with cross-functional teams to deliver accurate data-driven reports for management decisions

• Designed relational database schemas and automated ETL pipelines, cutting processing time by 38% and improving reporting accuracy • Built predictive models using regression and classification to forecast KPIs with 79% accuracy, informing quarterly planning • Developed interactive dashboards and automated reports, reducing manual effort by 30% and enabling real-time decision support • Conducted cohort analysis and customer segmentation, improving targeted campaign conversion by 17