Meteorologist and data scientist with over eight years of experience in applied meteorology, leveraging python to analyze spatial-temporal weather datasets and develop predictive models. Skilled in numerical weather forecasting, remote sensing, and data quality assurance, with a proven track record of collaborating with interdisciplinary teams to deliver actionable insights. Adept at managing all phases of data science projects, including data compilation, exploratory data analysis (EDA), feature engineering, and stakeholder communication. Passionate about applying meteorological expertise to enhance utility grid reliability and support sustainable energy solutions.