• Designed and maintained dynamic performance dashboards using Power BI and advanced Excel to track KPIs across pipeline, conversion, and revenue metrics.
• Developed and deployed AI-powered recommendation systems and customer segmentation models, driving 25% revenue growth during peak season.
• Built and optimised content-based recommendation engines for product upselling, increasing attach rates and average transaction value.
• Delivered data-driven reports and forecasts to senior leadership, translating complex analytical insights into actionable business strategy.
• Conducted end-to-end data pipeline management – from data collection and cleaning to model evaluation and deployment.

• Engineered a high-accuracy speech-to-text system, boosting transcription performance across diverse accents and noisy environments.
• Developed a Voice Assistant chatbot using Rasa and GPT-3 for media-player interaction, improving automation and accessibility.
• Evaluated and optimised speaker diarisation techniques for multi-speaker audio, enhancing conversation segmentation quality.
• Applied advanced ML techniques in Python and R for data analysis, visualisation, and production-grade research pipelines.
• Worked with Microsoft Azure Cognitive Services and Hugging Face to improve speech recognition systems.

• Expanded customer base through strategic prospecting and relationship management, contributing to deposit mobilisation and product uptake.
• Assessed creditworthiness of loan applicants and delivered risk-based recommendations, supporting high-quality credit decisions and portfolio growth.

• Participated in Money Market trading activities and contributed to strategic financial decision-making.
• Monitored the bank's interest rate positions and Net Open Position, ensuring optimal financial stability.

• Performed time-series analysis of monthly claims data to identify predominant patterns for management decision-making.
• Processed underwriting tasks and prepared policy documentation.

Grade: 84/100 (Very Good Pass)  |  Thesis: IoT and AI for Secure Remote Healthcare Monitoring

Healthcare governance, strategy, finance, risk management, data analysis & digitisation

CGPA: 3.85/5.0 (Second Class Upper Division)  |  Thesis: Factors Influencing Academic Performance (CGPA) of Students

• Built a prototype achieving 95.2% accuracy and F1 score by integrating an ensemble ML model with MedGemma 4b-it for disease prediction and clinical triage across 5 classes.
• Deployed an interactive Streamlit Cloud application for patient vitals input, risk analysis, and AI-guided triage feedback.

• Interactive analytics dashboard for the Dubai property market; enables filtering by location, type, and price range with visualisations for data-driven investment decisions.

• Streamlit web application for merging multiple PDF files into a single document, deployed on Streamlit Cloud for free public access.