• Developing pricing strategies for BizFares and Bundle, ensuring competitiveness in the marketplace and maximizing revenue.• Optimize market positioning in over 100 domestic markets driving over 500 million dollars in revenue, identifying strengths and addressing challenges.• Created an automated process to file Background Sales based on several KPIs to boost market performance.• Maximized RASM target in the DFW region during Spring Break 2024.

• Co-developed proprietary software using Python and Tkinter to improve annotation visualization and performance metric computation, reducing evaluation time by 50%.• Boosted model precision by 21% by identifying rare features, damage, and roof types thereby reducing model bias.• Ensured high-quality image annotation by providing feedback to a team of independent labelers, improving data quality.

• Reduced company expenditure by 50% by performed statistical analysis with Python and Shapely to analyze geospatial data, identifying the most cost-efficient vendor.• Developed an automated data analysis pipeline with Python that calculates model metrics, creates aggregates and a log of human error, and generates Excel reports.

• Improved project workflow by 200% for large scale optical image data with TensorFlow's TFRecords API for serialization.• Trained Autoencoders, achieving an impressive 79% accuracy and MSE of 0.0164 in generating spectrums from input optical vectors.

• Course - Prescriptive Analytics with Python• Assisted the Professor in organizing lecture materials and coursework, grading quizzes, assignments, and projects.• Successfully improved the class performance by promptly resolving students’ doubts and queries via email and office hours for a cohort of over 200 students.