Waish علام

• Trained on Python, SQL, Machine Learning, and Data Analysis over a 6-month structured industrial program.
• Developed and evaluated 3+ predictive ML models using Scikit-learn, achieving accuracy improvements of up to 87% across classification
tasks.
• Cleaned, preprocessed, and analyzed real-world datasets using Pandas and NumPy; reduced data inconsistencies by applying feature
engineering and EDA techniques.
• Built data visualizations using Matplotlib and Seaborn to communicate model insights to non-technical stakeholders.