Data Scientist
Built business solutions utilizing advanced machine learning methodologies, such as decision trees, neural networks, etc., for regression, classification, and clustering problems.Preprocessed structured and unstructured data, performed exploratory data analysis to uncover trends and patterns, and generated data visualizations for business teams.Handled machine learning life cycle tasks, including data research & and analysis, feature engineering, model training, and… Show more Built business solutions utilizing advanced machine learning methodologies, such as decision trees, neural networks, etc., for regression, classification, and clustering problems.Preprocessed structured and unstructured data, performed exploratory data analysis to uncover trends and patterns, and generated data visualizations for business teams.Handled machine learning life cycle tasks, including data research & and analysis, feature engineering, model training, and deployment.Collaborated with different functional teams for deploying ML models.Took sessions and mentored teammates on machine learning, deep learning, and data science methodologies.PROJECTS🔹Text-to-speech conversion for a VR applicationGenerate human-like speech VR avatars from text input.🔹Predicting BP from ECG dataThe objective of this project was to develop a machine-learning model capable of predicting blood pressure levels based on features extracted from electrocardiogram (ECG) signals. The aim was to explore the potential of non-invasive ECG monitoring as a means of predicting blood pressure without the need for traditional cuff-based measurements.🔹Chatbot for patient care using RasaBuilt a chatbot to assess the progress of patients after they leave the hospital.Technologies: Rasa Show less