data Presentation and Automation - Presenting findings and building applications on top of them

•  Presenting findings to stakeholders after successful data analysis and model development.
• Automating models to meet the demand for repeatable predictions and insights
• Implementing model scoring or creating applications for automatic updates of reports, Excel spreadsheets, or PowerPoint presentations.
• Emphasizing the importance of soft skills in the final stage of data science.
• Recommendation: Find dedicated books and information on the subject to enhance your skills.