amr ali

I’m a Data Scientist with hands-on experience delivering end-to-end machine learning solutions and statistical analyses across diverse domains. I enjoy turning structured and semi-structured data into predictive models and decisions you can measure.

In my self-employed freelance work (2025 - Present), I deliver end-to-end data analysis and ML projects for clients. I build predictive models, run exploratory data analysis, and create visualizations using Python libraries like pandas, NumPy, and Matplotlib.

I’m comfortable handling the full pipeline—from data collection via APIs (JSON, XML) through cleaning, feature engineering, and model evaluation with scikit-learn. I also tune and compare models using cross-validation and ROC/AUC to maximize performance and reproducibility (including Git-based version control in Jupyter notebooks).

Alongside engineering, I’ve supported clinical and academic environments: I served as a Sales & Clinical Application Engineer and a Teaching Assistant, mentoring students and contributing to reporting and analytical thinking. My projects reflect my focus on practical impact, from Falcon-9 landing prediction to AI-based skin cancer detection and healthcare facility isolation-area planning.