- 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.