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Demand Planning & Big Data Analytics
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Technology
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SAP
Amazon Web Services
Scikit Learn
Python
Customer
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Project Objectives
• Create a model in order to perform demand forecasting every month for a 12 month horizon.
• Create a model with a high degree of forecast accuracy in order to manage and reduce costs related to:
- Inventory planning and management.
- Procurement planning and buying decisions.
- Warehouse management.
- Production planning and scheduling.
• Understand correlations between sales profits and discount decisions, in order to apply better discount policies to increase profits.
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Machine learning operations (MLOps) steps
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Created a Data Pipeline to digest historical sales data from SAP.
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Performed Data Cleaning on the data.
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Performed EDA (Exploratory Data Analysis).
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Performed training on 80% of the data with cross validation using different Regression algorithms.
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Performed evaluation on 20% of the data using cross validation.
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The best result we got from an XGBoost algorithm with a 92.91% Score
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