+ Process, cleanse, and verify the integrity, quality, and reliability of data used for analysis, reporting, and predictive modeling.

+ Perform ad-hoc and recurring analyses, presenting results and insights in a clear, concise manner to support business decision-making.

+ Analyze large, complex datasets to extract meaningful insights, selecting appropriate statistical, analytical, and machine learning techniques based on the problem context.

+ Select relevant features and build, evaluate, and optimize classification and predictive models using machine learning techniques.

+ Apply data mining and advanced analytical methods to identify trends, patterns, and relationships within structured and unstructured data.

+ Extend and enrich customer and business datasets using third-party data sources when required to improve analytical outcomes.

+ Enhance data collection and preparation procedures to ensure relevant, high-quality...