● Developed Power BI dashboards to monitor key performance metrics for the ONE Sobha App. ● Analyzed user engagement, event tracking, and demographic data trends to optimize app performance by incorporating data from Firebase, Play Store Analytics, and App Store Analytics. ● Evaluated crash reports and in-app transactions to address technical issues and improve user experience. ● Delivered data driven strategies for feature prioritization and App Store optimization, resulting in increased user engagement and reduced manual reporting time by over 60%.

● Generated project proposals for task automation within different modules of Oracle’s software for client firm implementation. ● Provided research on different classification algorithms for implementation on a potential ML project. ● Generated client-facing questionnaires for smoother consultation processes involving integration of Oracle’s custom solutions with client firm software. ● Constructed reports for development of custom modules for Oracle’s software.

● Conducted in-depth market analysis, identified trends, and evaluated customer engagement metrics, campaign performance, and competitor benchmarks to refine digital marketing strategies. ● Assisted in formulating recommendations for EMAX’s next marketing strategy, enhancing digital presence and market share. ● Contributed to discussions on optimizing digital marketing tactics leading to a 27% increase in click-through rate.

● Developed a platform that records, transcribes, and analyzes sales calls with AI-driven insights, sentiment analysis, and KPI tracking. ● System performance resulted in 97% accurate transcriptions and a 75% faster report generation process for sales team leads. ● Developed frontend using React.js, backend with Python-FastAPI and Node.js, and database architecture using Supabase.

● Collaborated on a group project to develop a fraud detection system using ML models such as Logistic Regression and Random Forest. ● Built using Python with various libraries for data analysis, model training, and visualization.

● Developed a mobile app using Kotlin (Android Studio) and implemented features such as user authentication, real-time car availability, and rental history tracking. ● Designed an intuitive UI/UX while adhering to MVVM architecture for maintainability. ● Utilized Firebase for user management and database storage as well as utilized Google Maps API for location-based services.

● Implemented autonomous agent systems and developed a Frogger game with Python and Pygame to compare AI logic for obstacle-rich environments (compared Finite State Machines and Behavior Trees approaches).

● Developed a system that classifies emails as "phishing" or "legitimate" using supervised learning techniques (Logistic Regression). ● Used Python libraries (Pandas, NumPy, Scikit-Learn, Matplotlib, Seaborn) for preprocessing and model training with 94% accuracy.