ardizio/Cognizant-x-Forage-AI-Job-Simulation

EDA, Data Modeling, Model Building and Deployment

Cognizant-x-Forage-AI-Job-Simulation

Read a detalied article on my blog.

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• Client: US Grocery store chain with IoT sensors, facing perishable supply chain challenges.
• Challenge: Optimize supply chain for perishable items.
• Request: Use data and AI for efficient supply chain management.

1. EDA on Client Data:

   • Analyzed client data using Google Colab.
   • Utilized pandas and seaborn for EDA.
   • Requested additional data.
   • Jupyter Notebook.

2. Data Modeling:

   • Tasked with predicting product stock levels using sales and sensor data.
   • Developed a strategic plan.
   • Action Plan PowerPoint.

3. Model Building and Interpretation:

   • Combined, transformed, and modeled 3 datasets.
   • Created a Python workflow for EDA, model testing, and finetuning.
   • Jupyter Notebook.

4. Machine Learning Production:

   • Developed a Python module adhering to PEP 8.
   • Created functions for data loading and model evaluation.
   • Python Module.