ETD

• business intelligence
• neural networks

In this thesis, a deep learning model was trained using available data of a solar power company. The objective was to create a scoring model that can help the company to prioritize more promising customers in terms of purchasing. Main challenges included extremely imbalanced dataset, limited and low variance data. The model is then deployed on company´s data warehouse (Snowflake) for regular usage.