As an Analytics Consultant, I work independently with millions of records of vaccine data for the entire Saudi population, utilizing advanced analytical techniques to identify key performance indicators (KPIs) and metrics. I analyze data to uncover gaps, such as under-vaccinated age groups or inaccuracies in data, providing actionable insights to improve vaccine coverage and ensure data integrity within the Ministry of Health.I also support various public health campaigns, including flu, RSV, and high-risk groups, ensuring that communities are informed and vaccinated to prevent outbreaks and promote healthier lives. Currently, I am enhancing my skills in machine learning to advance my analytics capabilities further and build predictive models that address complex business challenges. Additionally, I specialize in creating interactive dashboards with Power BI to visualize data insights effectively.

In my current role, I leverage data science to enhance public health initiatives, focusing on vaccination programs. Key contributions include:Vaccine Compliance Monitoring: Track and analyze vaccine compliance for children across the kingdom. Use data-driven methods to ensure timely immunizations and identify gaps.Seasonal and Specialized Vaccines: Analyze data for seasonal vaccines and immunizations targeting the elderly and those with chronic illnesses. Develop insights to optimize distribution and improve coverage.Data Visualization: Create interactive dashboards and visualizations to communicate vaccination metrics. Support decision-making with real-time data insights.Simulation and Forecasting: Implement simulations to model vaccine supply and demand. Apply predictive analytics to forecast needs and address distribution challenges.Code Optimization: Optimize Python code to automate report and dashboard generation, enhancing efficiency and accuracy.Machine Learning & AI: Develop predictive models and explore AI techniques to improve vaccine uptake and public health interventions.During and after the pandemic, I also:Developed Data Visualizations: Created dynamic visualizations and automated reporting systems to track pandemic metrics, optimizing code for faster and more accurate reporting.Simulated Vaccine Availability: Engineered simulations to model vaccine distribution, supporting strategic planning and optimizing allocation.My role combines a passion for data science with a commitment to solving real-world problems, and driving impactful outcomes in public health and beyond.

I advised investors on where and what to buy, utilizing my strong analytical skills and data-driven approach. My role involved:Market Analysis: Conducted in-depth analysis of property markets, leveraging data to identify emerging trends and investment opportunities. Applied statistical methods and data visualization techniques to present insights and forecast market trends.Investment Valuation: Evaluated potential investments by analyzing historical data, financial metrics, and market conditions. Employed predictive modeling techniques to estimate future property values and assess risk factors.Client Recommendations: Developed data-driven recommendations for clients based on comprehensive market research and analysis. Created detailed reports and presentations to support investment decisions and highlight key opportunities.Performance Tracking: Monitored the performance of investments over time, using data to track returns, assess the effectiveness of investment strategies, and make informed adjustments.Through this role, I honed my ability to analyze complex datasets, generate actionable insights, and communicate findings effectively—skills that are directly transferable to data analytics and data science. My experience in evaluating market trends and guiding investment decisions has provided me with a robust foundation in applying analytical methodologies to real-world scenarios.