Pre-process and clean large datasets for training machine learning models.
Develop and implement machine learning algorithms, particularly neural networks, for monthly sales forecasting for various (15-20) business entities across the world.
Evaluate and fine-tune models to improve accuracy and performance metrics.
Achieve an overall prediction accuracy of 92% + for each of the models and present the model to the leadership team.
Document methodologies, results, and insights for future reference and knowledge-sharing
