Data Evaluation and Analysis: Evaluate and analyze various forms of data to generate insights that will help in decision-making processes.Feature Engineering: Work on the creation of new features from the raw data to improve the performance of machine learning models.Model Design, Development, and Testing: Design, develop, and test predictive models using various machine learning techniques.Data Preprocessing: Cleanse, normalize, and standardize data to improve data quality and efficiency of data processing tasks.