Engage with stakeholders to understand business goals, challenges, and data sources.

Gather relevant historical data and define key metrics for analysis.

Clean and preprocess the data to ensure quality and consistency for accurate modeling.

Develop predictive models using machine learning algorithms tailored to the specific needs of the business.

Validate the models against historical data to ensure accuracy and reliability.

Implement the predictive models into the business workflow, integrating them with existing systems for real-time insights.

Continuously monitor model performance and make adjustments as necessary to adapt to changing business conditions.

Provide regular reports and insights to stakeholders, highlighting key findings and actionable recommendations.