Data Scientist & Machine Learning Engineer
Driven Data Science student skilled in Python, SQL, and Machine Learning. Experienced through multiple internships in data analysis, dashboarding, and predictive modeling. Passionate about applying AI and data-driven insights to solve real-world business challenges.
Passionate about leveraging data science and machine learning to create intelligent solutions
A results-driven Data Scientist with hands-on experience across 6 professional internships at leading organizations including Deloitte, CIB Egypt, and NTI. Specialized in developing end-to-end machine learning pipelines, predictive modeling, and data visualization. Proficient in Python, SQL, and modern ML frameworks including PyTorch, TensorFlow, and Scikit-learn. Demonstrated expertise in transforming complex datasets into actionable business insights through advanced analytics and compelling visualizations using Power BI, Tableau, and Python libraries. Committed to delivering data-driven solutions that drive measurable impact.
A comprehensive toolkit for data science and machine learning
Building expertise through diverse internship experiences
Mazen Analytics Lab
Cleaned, preprocessed, and visualized 10K+ records using Excel, Power BI, Python, and Tableau. Delivered professional dashboards and analytical reports that improved insight communication for business clients.
Deloitte
Analyzed machine performance and employee salary datasets to detect gender pay gaps using Tableau. Presented insights to senior analysts, influencing internal discussions on equity and workforce optimization.
NTI (National Telecommunication Institute)
Completed an end-to-end ML pipeline: from data collection and preprocessing to model evaluation. Practiced model deployment and API integration for real-world applications.
Uneeq Interns
Built and optimized ML models for Customer Churn, Recommender Systems, and Sentiment Analysis. Improved model accuracy by fine-tuning parameters and applying effective feature engineering techniques.
Commercial International Bank (CIB) Egypt
Applied AI and analytics techniques to financial datasets to identify business performance trends. Collaborated with cross-functional teams to deliver data-driven insights in a professional banking environment.
Code Alpha
Developed predictive models for Car Prices, House Prices, and Stock Forecasting using Python and ML algorithms. Created data visualizations that simplified complex insights for non-technical stakeholders.
Comprehensive data science solutions tailored to your needs
Transform raw data into actionable insights through comprehensive statistical analysis, data cleaning, and visualization techniques that drive informed decision-making.
Develop and deploy predictive models using advanced ML algorithms to solve complex business problems and automate decision-making processes.
Create compelling visual narratives using Power BI, Tableau, and Python libraries to communicate complex data insights effectively to stakeholders.
A showcase of my data science and machine learning projects
Classification model predicting passenger survival using demographic and onboard data with comprehensive data cleaning and ML techniques.
Interactive dashboard analyzing sales trends, revenue metrics, and regional performance with comprehensive business intelligence insights.
Time series forecasting model predicting stock prices using historical trends and advanced feature engineering techniques.
Processed 568K Amazon reviews using PySpark distributed computing, analyzing 74K products across 13 years (1999-2012) Applied Mann-Whitney U and Spearman correlation tests using SciPy proving first reviews dont predict long-term sales (p>0.05)
ML classification model predicting customer churn to help businesses retain valuable customers and improve satisfaction.
NLP models analyzing sentiment in customer reviews to understand satisfaction and improve business decision-making.
Comprehensive analysis of customer support data with KPI tracking and efficiency visualization for operational insights.
Intelligent recommendation engine using collaborative and content-based filtering to suggest personalized movie recommendations.
Interactive reporting dashboard for sales and performance insights with advanced DAX calculations and data cleaning.
Professional certifications and continuous learning
Let's connect and explore opportunities together