Key Responsibilities • Develop, test, and maintain Python applications used for engine performance and diagnostics data analysis. • Work with large-scale engine datasets to assess data quality, detect anomalies, and identify patterns. • Implement data validation, cleaning, and transformation routines. • Apply data science and machine learning techniques to extract insights and support decision-making. • Create clear, reusable code with proper documentation. • Collaborate with cross-functional teams including domain experts and software engineers to refine requirements and implement solutions. • Present findings through reports, dashboards, or visualizations.