Eastern, Saudi Arabia
Experienced Data Scientist specializing in Healthcare AI, GenAI, and MLOps, with cross-industry experience spanning healthcare, aviation, real estate, hospitality, construction, and trading. Proven in leading end to end AI initiatives from system architecture and cloud deployment to model governance and automation driving data driven decision-making at scale. Expert in translating complex data into executive-ready insights, enabling operational efficiency, risk reduction, and predictive intelligence in regulated environments. Passionate about building secure, scalable AI platforms that deliver measurable business and clinical impact.
As a Senior Data Scientist, leading AI/ML, BI, and cloud analytics initiatives to improve healthcare operations, forecasting accuracy, and executive decision-making. Architected and deployed scalable AI/ML solutions on GCP and Databricks, improving predictive analytics accuracy and supporting data-driven healthcare operations. Developed enterprise BI dashboards using Tableau and Power BI to monitor clinical, operational, and financial KPIs for executive leadership. Designed and automated ETL/ELT pipelines with Python and SQL, reducing processing time by over 40% and enabling near real-time analytics. Collaborated with cross-functional stakeholders, including finance and C-suite executives, to align analytics initiatives with strategic business objectives. Implemented secure data governance and CI/CD practices for model deployment, ensuring compliance, scalability, and production reliability.
LLM Operations & RAG Systems: Developed production-grade LLM API integrations with custom RAG implementations using knowledge bases for healthcare, FMCG, and analytics platforms; implemented Google A2A protocols for agent-to-agent communication Multi-Agent Orchestration: Built FMCG Intelligence Hub (Kaggle GenAI Capstone) with Google Gemini AI enterprise multi-agent platform featuring specialized agents, MCP tools/servers for precision orchestration, and FastAPI/Streamlit deployment architecture Agentic IDE Innovation: Early adopter and evaluator of agentic development environments (Cursor, Claude Code, Qoder, Google Anti-Gravity); expertise in wide-coding methodologies, automated code generation, and AI-assisted full-stack development workflows Advanced Agent Frameworks: Architected multi-agent systems using CrewAI, LangChain, and Smolagents with MCP-enhanced communication protocols, Knowledge Graph integration. Hands-on experience with machine learning applications, including building models such as linear regression, logistic regression, random forest, and ensemble models. Successfully designed and implemented data architectures for utilizing big data platforms like Databricks and cloud platforms like Azure and GCP. Prepared detailed documentation and research papers outlining methodologies, results, and conclusions, demonstrating a commitment to transparency and knowledge sharing.
As a Data Research & Reporting Analyst, delivering healthcare analytics, ERP reporting, and business intelligence solutions to support operational and financial performance. Built advanced Tableau and Power BI dashboards to support healthcare analytics, operational reporting, and financial performance monitoring. Led SAP HANA ERP implementation and data migration initiatives, improving reporting efficiency and organizational data integration. Developed statistical and forecasting models to analyze revenue trends, operational demand, and customer insights for business optimization. Optimized SQL database operations, including query performance tuning, schema management, and reporting automation across multi-site environments.
Created impactful dashboards and reports using Tableau and Power BI to communicate results, particularly focused on healthcare products. Proficient in building SQL queries to extract data from servers and actively involved in database management tasks, including creating new tables, deleting old tables, and managing backups/restores. Collaborated with cross-functional teams including operations, business development, and marketing on various projects such as social media trending analysis, customer sentiment analysis, and demand-driven forces exploration. Led the development of analytics projects, working closely with business stakeholders to identify data needs and address critical business questions. Identified, explored, and integrated diverse data sources to support analytical initiatives. Developed statistical models for use in analyses, contributing to data-driven decision-making processes. Currently serving as the lead coordinator for the implementation of SAP Hana ERP across the organization, showcasing leadership and project management skills.
• Spearheaded the introduction of Python-based automation for reconciliation reporting at Flight Ops, enhancing efficiency. • Managed cross-functional financial datasets across flight operations, ensuring accuracy and compliance. • Developed structured data models for multi-entity consolidation at Delham International, streamlining financial reporting. • Led ERP migration data validation, improving data integrity and operational workflows.