Mohamed Aly

Data Science Intern

• Job Details:Developed and optimized a transaction categorization model, improving classification accuracy for financial transactions using machine learning techniques. Analyzed large-scale financial datasets, performed feature engineering, and enhanced data preprocessing pipelines for improved model performance. Collaborated with cross-functional teams to deploy and test predictive models, providing insights to support decision-making in financial services.

Data Science Trainee

• Job Details:Successfully completed eight comprehensive data science projects, including data extraction, cleaning, analysis, and modeling across various domains such as real estate, finance, and environmental science. Proficient in accessing and managing data from multiple sources including CSV files, SQL databases, and performing complex data preprocessing and exploration. Developed and deployed various models including linear regression, ARMA time-series, logistic regression, decision trees, random forests, gradient boosting, k-means clustering, and GARCH for predictive and classification tasks. Created insightful visualizations and interactive dashboards using tools like Mapbox, heatmaps, and custom web applications to effectively communicate analysis results and support decision-making.