• Developed a recommendation system for a medicinal application, enhancing user-specific recommendations.• Built an AI-powered departmental scheduling system that automates class vacancy based on student demand and professor inputs.• Conducted predictive analysis on the Titanic dataset using deep learning neural networks for academic research.• Assisted in developing educational apps and designing websites to support technology-related initiatives.• Collaborated on various technology projects, applying skills in programming, data analysis, and automation to deliver innovative solutions.

• Developed and automated revenue management systems using Python, Google Cloud Platform (GCP), and Google Sheets API.• Leveraged Machine Learning models (Random Forest, XG Boost, ADA Boost) for seat factor prediction and flight load optimization, enhancing operational efficiency.• Analyzed flight revenue and load data to identify trends, forecast no-show ratios, and optimize overbooking strategies.• Built and deployed automated scripts for competitor analysis and internal flight insights using Python, Selenium, and GCP.• Collaborated with analysts to design ETL processes, ensuring data integrity through cleansing and validation.• Generated data-driven insights and presented findings to stakeholders to support strategic decision-making.

• Collaborated with cross-functional teams, including service centers, delivery centers,and other sales advisors, to ensure smooth customer experiences.• Provided post-sales support to customers, including addressing inquiries,troubleshooting technical issues.