• Data scientist experienced in developing and implementing predictive models, including regression, decision trees, ensemble models, SVMs, neural networks, and deep learning• Highly skilled in analyzing, interpreting, and visualizing multidimensional datasets using a variety of techniques such as clustering (k-means, hierarchical clustering), dimensionality reduction (PCA, tSNE), and NLP to extract valuable insights and inform data-driven decision-making• Adept at integrating, managing, and transforming complex data from diverse sources and structures while maintaining data integrity; proficient in designing and implementing ETL frameworks, and querying, extracting, and processing data from data warehouses and data marts• Communicates and collaborates fluently with colleagues across all levels of clinical and technical expertise
Listed skills include Database Design, Data Management, Data Cleaning, Statistical Data Analysis, and 34 others.