Data Analyst | Data Scientist
A skilled Data Analyst and Data Scientist with hands-on experience in data analytics, machine learning, and business intelligence. Proficient in transforming complex datasets into actionable insights using Python, SQL, and Power BI. Currently an AI-First Data Scientist at RISIDIO, contributing to AI-driven market analytics and investment intelligence.
Expertise in transforming complex datasets into actionable insights through data cleaning, EDA, statistical analysis, and business intelligence solutions.
Proficient in developing and improving machine learning models for predictive insights, including classification, regression, and model evaluation.
Applying advanced AI-first analytics approaches to support market intelligence and data-driven decision-making in remote international environments.
Building interactive dashboards and reports using tools like Power BI to visualize market trends, investment signals, and performance indicators.
Developed an end-to-end machine learning pipeline for stroke risk prediction using medical datasets, performing preprocessing, EDA, and feature engineering.
Impact: Achieved ROC-AUC score of 0.93, focusing on recall for medical risk detection.
Conducted exploratory data analysis and correlation analysis on market and token performance data, building regression and tree-based models to derive insights.
Impact: Visualized results and communicated data-driven insights to technical and non-technical stakeholders.
Cleaned and analyzed retail shopping datasets to identify purchasing patterns and seasonal trends, creating visualizations to support business decision-making.
Applied AI-first analytics to support market intelligence and data-driven decision-making in the Film & TV industry at RISIDIO.
Completed hands-on projects in data science, AI applications, and business analytics as a Data Scientist Trainee at DEPI.
Managed daily data entry, validation, and reporting, ensuring data accuracy and consistency in a Government Institution.
Graduated with an A+ (Excellent with Honors) for an Online Voting System project from Fayoum University.
Completed Full Stack PHP summer training at Information Technology Institute (ITI).
Developed a responsive e-commerce website using JavaScript and PHP, driving a 35% increase in online sales at Appen.