| Job Location | Mumbai, India |
| Education | Bachelor's degree / higher diploma |
| Salary | Not Mentioned |
| Industry | FMCG |
| Functional Area | Not Mentioned |
- Pre-process and cleanse the input data for outliers and imputation of zero ship periods- Univariate time series modelling using exponential smoothing and Box Jenkins methods for very large data sets at SKU, warehouse and Customer level in weekly and monthly buckets- Multivariate modelling incorporating external and causal factors into forecasting- Leverage machine learning models (Support vectors, Ensembles ? Random forest, Gradient boosting etc.) & deep learning (Recurrent Neural network (LSTM) etc.) to generate best in class forecast accuracy.- Exception handling and alert management to effectively review and manage forecasting KPIs above defined targets- Long-term forecasting incorporating strategic inputs from marketing, finance, operations etc.- Effectively deploy results to stakeholders using predictive, prescriptive analytics and data visualization- Generate forecast for New Items using like item modelling/ machine learning approaches- Perform descriptive & diagnostics analysis on historical demand & shipment data- Forecast Visual analytics, scenario planning, model diagnostics- Build solution framework for segmented demand planning by leveraging Clustering methods- Distance matrix, Dimensionality reduction, K-means, DBSCAN etc.- Enhance Demand disaggregation methodology and accuracy
Keyskills :
Statistical Reporting
© 2023 HireeJobsGulf All Rights Reserved
