Dina Batros

Junior Data Scientist with two years of experience in data analysis, machine learning, and statistical modeling. Adept at using Python, R, and SQL to derive actionable insights and drive business success. Passionate about solving complex problems and contributing to team objectives.

Breast Cancer Prediction

• Developed a predictive model for breast cancer detection using Python and machine learning algorithms.
• Analyzed and processed a dataset from UCI Machine Learning Repository, achieving an accuracy of 95%.
• Employed feature selection techniques to identify the most significant predictors of breast cancer.
• Utilized LIME (Local Interpretable Model-agnostic Explanations) to interpret and explain model predictions, ensuring transparency and trust in the model's decisions.
• Presented findings and model insights to a mentor, highlighting the potential for early detection and improved patient outcomes.

• Created an interactive resume using Tableau as part of a learning project to showcase data visualization skills. Designed and developed visual elements to represent professional experience, skills, and achievements, enhancing the presentation and accessibility of personal and professional data.