👉Aspiring PhD candidate in environment and energy economics with a strong background in econometric modeling and dataanalysis. 👉Experienced in research on CO2 emissions, energy efficiency, and the socio-economic impacts of environmental changes.Eager to contribute to research that promotes sustainable development and links environmental policies with economicoutcomes.👉Practical experience in applying machine learning and statistical analysis techniques, including techniques such as decision trees, random forest, K-means clustering, and various hypothesis tests, to drive data-informed decision-making and improve business outcomes.👉Proven ability to excel both independently and collaboratively, with strong time management skills and experience in handling multiple projects simultaneously.