To create a model which can help impute/extrapolate data to fill in the missing data gaps in the store level POS data currently received.
Build an imputation and/or extrapolation model to fill the missing data gaps for select stores by analyzing the data and determine which factors/variables/features can help best predict the store sales. You will be requested to present and defend the logic in your analysis.
Evaluation criteria will be
- Accuracy of the model
- Efficacy of approach and applied methodology