Meshal Alsanari

- Performed EDA, cleaned data, handled missing values and outliers with imputation and IQR, and engineered features.
- Visualized insights using Matplotlib and Seaborn (heatmaps, boxplots, histograms), conducted statistical analysis (correlations, hypothesis testing), and built/optimized supervised learning models (LinearRegression, LogisticRegression, SVM, DT, RF, KNN) and clustering (K-Means, BDSCAN) for classification and regression tasks

•Gained hands-on experience in EDA, refining, and visualizing datasets for insights.
•Used Power BI, Tableau, Python, and Excel for data analysis and presentation