Data Analysis: Identify, clean, and preprocess large datasets from various sources to extract meaningful insights and patterns. Apply statistical techniques and data mining algorithms to uncover trends, correlations, and anomalies.
Model Development: Design, develop, and implement predictive models, machine learning algorithms, and statistical models to solve business problems and improve decision-making processes. This includes feature selection, model training, validation, and optimization.
Data Visualization: Create visualizations and dashboards to present complex data in a clear and intuitive manner. Communicate findings and insights to stakeholders, including executives, managers, and other team members, through reports and presentations.
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