Hierarchical forecasting project

I'm seeking someone that can help on the coding phase of the project. We will be working with hierarchical forecasting for a retail company, using their dataset. All coding to be made in phyton, using pandas and other modules for machine learning. The deliverables should include not only the anotated code using a notebook, but also step by step explanations regarding the methods tested. Finally all should be documented. All to be ready to deploy on AWS, including detailed step by step explanation on how to do it. Furthermore, pipeline and deployment to be assured by the contractor on my own Aws account.

Brief dfescription of the project:
Project endeavors to use hierarchical forecasting methodologies in business by leveraging the capabilities of deep learning models. Aims to design and implement a hierarchical forecasting framework that integrates deep learning architectures to capture complex dependencies and relationships across multiple levels of a business hierarchy. Focusing on demand forecasting, sales projections, and inventory management, the project will explore how deep learning models, such as recurrent neural networks (RNNs) or long short-term memory networks (LSTMs), can enhance the accuracy and efficiency of predictions within a hierarchical structure. By accommodating the inherent hierarchies present in diverse business units and product categories, the project seeks to provide a comprehensive and adaptable forecasting solution that addresses the intricacies of managing and optimizing resources at different organizational levels, ultimately contributing to more informed decision-making processes in the business domain.