Welcome to my comprehensive repository of data analytics and data science projects on supply chain optimization within multiple domains. This collection showcases a range of real-world applications, coding techniques, and innovative solutions to complex problems.
# What You'll Find Here
Techniques and projects for integrating advanced technologies to enhance Supply Chain operations using Python programming.
### Key Technologies:
- Python (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch)
### Why This Portfolio?
Each project in this repository represents a step towards mastering the art of data analysis (Data Analytics, Data Science, and Machine learning). From beginner-friendly tutorials to advanced implementations, this portfolio demonstrates a progression of skills and a commitment to continuous learning in the fast-evolving field of data analytics and data science while optimizing Supply Chain operations using Python programming.
### For Recruiters and Fellow Data Experts:
Browse through this collection to see practical applications of:
- Statistical Analysis
- Predictive Modeling
- Data Cleaning and Preprocessing
- Model Evaluation and Optimization
### Connect With Me:
[LinkedIn] | [Personal Blog]
Feel free to reach out for collaborations or discussions on data science and machine learning topics!
This portfolio is continuously updated with new projects and learnings. Star this repo to stay updated with the latest additions!