BATOUL BLAYBEL

Conducted a comprehensive statistical analysis of lung cancer patient data to compare clinical features, treatment outcomes, and survival rates between smoking-related and non-smoking-related cases using R; performed survival analysis with corrected survival time, including Kaplan-Meier estimation, log-rank test, and Cox proportional hazards modeling.

COVID Data Analysis and Visualization Project: Utilized SQL data exploration techniques to analyze the global impact of COVID-19, focusing on its effects and vaccination trends. Subsequently, I visualized COVID-19 infection data using Tableau, providing clear and actionable data-driven perspectives on pandemic dynamics and infection rates.

• Utilized SQL to clean Nashville housing data for data preparation.
• Utilized Python libraries including pandas, seaborn, and matplotlib to clean and conduct correlation analysis on a movie industry dataset. This involved data cleaning tasks to prepare the dataset for analysis, followed by visualization and correlation calculations to uncover insights into factors impacting movie success.

Utilized Excel to clean and analyze sales data for insights into bike buyers' behavior and sales trends. Created visualizations and dashboards to present findings for informed business decisions.

Utilized Tableau to conduct comprehensive analysis of Airbnb data. Uploaded visualizations showcasing insights on pricing trends, revenue patterns, and property metrics.

Employed Power BI for data cleaning and transformation tasks, optimizing survey data for visualization. Developed interactive visualizations to showcase survey insights.