Zahra Bagheri

M.Sc. in Biomedical Engineering with a strong mathematical background (B.Sc. Applied Mathematics) and hands-on experience in Python-based data science, machine learning, and statistical modeling.
What I can help you with:
• Data cleaning, preprocessing, exploratory analysis, and visualization (Python, Pandas, NumPy, SQL)
• Machine learning models for classification and regression (scikit-learn: Logistic Regression, Random Forest, Gradient Boosting, SVM)
• Handling imbalanced data (SMOTE), feature engineering, feature selection, dimensionality reduction
• Rigorous model evaluation: cross-validation, calibration, and prevention of data leakage
• Survival analysis (Cox proportional hazards, lifelines)
• Deep learning with TensorFlow/Keras (1D-CNN, LSTM) with comparison against classical baselines
• Medical and biomedical data: MRI/PET features, clinical and survey datasets, wearable HRV signals
• Math tutoring (11 years of teaching experience)
Experience: My master's thesis on early Alzheimer's detection with multimodal MRI/PET and CCA reached 96.54% accuracy (5-fold CV). I have also authored research on mortality risk prediction (NHANES) and data leakage in wearable stress classification, both submitted to peer-reviewed journals.
Deliverables: clean, reproducible code, clear reports of results, and explanations of the methods used. Communication in English and Persian.