Economist with extensive expertise in Python and core data science libraries, including pandas, numpy, sklearn, and keras. Possesses strong proficiency in SQL and Power BI, and has experience in developing tools and automating processes using Python. Proficient in constructing and implementing various machine learning models, such as K-means clustering, decision trees, linear regression, and logistic regression. Well-versed in leveraging cloud services, including AWS, Azure, and GCP. Recognized for exceptional logical reasoning skills, a self-taught approach to learning, sociability, a results-driven mindset, and a high capacity for effective delivery.