I am a medical doctor and PhD researcher with a strong background in applied mathematics, machine learning, and data analysis. I specialize in developing and validating data-driven models for complex, real-world problems, with a focus on medical image analysis, segmentation, and statistical evaluation. My experience includes building and evaluating machine learning and deep learning models in Python using PyTorch and TensorFlow, working with large imaging datasets, designing custom evaluation metrics, and performing rigorous statistical analysis in R and Python. I combine strong mathematical foundations with hands-on implementation skills and experience in version-controlled, reproducible research environments. What sets me apart is my ability to translate domain-specific problems into well-defined data science tasks and deliver robust, interpretable solutions. With a background spanning medicine, mathematics, and AI, I bring both analytical depth and practical impact to data-driven projects.…I am a medical doctor and PhD researcher with a strong background in applied mathematics, machine learning, and data analysis. I specialize in developing and validating data-driven models for complex, real-world problems, with a focus on medical image analysis, segmentation, and statistical evaluation. My experience includes building and evaluating machine learning and deep learning models in Python using PyTorch and TensorFlow, working with large imaging datasets, designing custom evaluation metrics, and performing rigorous statistical analysis in R and Python. I combine strong mathematical foundations with hands-on implementation skills and experience in version-controlled, reproducible research environments. What sets me apart is my ability to translate domain-specific problems into well-defined data science tasks and deliver robust, interpretable solutions. With a background spanning medicine, mathematics, and AI, I bring both analytical depth and practical impact to data-driven projects.WWWW…