Found Description
Client: Our client is a leading player in the consumer packaged goods (CPG) sector, specializing in the commercialization of pork and poultry products. They are seeking to enhance their data capabilities through advanced predictive modeling.
- Project overview: The project involves developing three predictive models aimed at optimizing pricing strategies and purchase predictions for various market segments within specific geographic areas. The models include:
- Price trend prediction for commodities at a provincial level.
- Suggested pricing models by micro-zone, incorporating socio-demographic variables.
- Purchase prediction models focusing on identifying strategic SKUs based on historical behavior.
Technology stack: Python and Pyspark; potential use of Databricks
- Responsibilities: Lead end-to-end data science projects, from problem framing and data exploration to model development and deployment
- Collaborate closely with clients and internal stakeholders to u...
- Project overview: The project involves developing three predictive models aimed at optimizing pricing strategies and purchase predictions for various market segments within specific geographic areas. The models include:
- Price trend prediction for commodities at a provincial level.
- Suggested pricing models by micro-zone, incorporating socio-demographic variables.
- Purchase prediction models focusing on identifying strategic SKUs based on historical behavior.
Technology stack: Python and Pyspark; potential use of Databricks
- Responsibilities: Lead end-to-end data science projects, from problem framing and data exploration to model development and deployment
- Collaborate closely with clients and internal stakeholders to u...