Passionate about leveraging data science and machine learning to drive impactful solutions in healthcare and beyond. Currently focused on developing innovative models for audio-based diagnostics, including tuberculosis detection. Experienced in data preprocessing, feature engineering, and applying advanced algorithms to real-world challenges. Open to collaborations on research projects involving AI, audio analysis, and public health.