Mvaro
Machine Learning Internship at Mvaro focusing on medical image analysis and predictive diagnostic pipelines. Implemented computer vision neural network architectures and gradient-boosted decision trees for healthcare diagnostic workflows.
Diagnostic Cancer Prediction System
Predictive diagnostic model analyzing clinical feature sets for high-accuracy malignant vs benign classification.
WHAT I DID
- Preprocessed clinical biopsy data, handled missing values, and engineered normalized feature vectors.
- Trained and cross-validated XGBoost models with hyperparameter grid search.
- Achieved a 93.3% accuracy score on cancer prediction validation datasets.
TECH STACK
MACHINE LEARNING
XGBoostScikit-LearnHyperparameter Grid Search
DATA ENGINEERING
Data PreprocessingFeature VectorsCross-Validation
HEALTHCARE DIAGNOSTICS
Clinical Biopsy AnalysisEvaluation MetricsROC-AUC