I'm a data scientist passionate about machine learning and deep learning. I have extensive experience with Python and love exploring new technologies to solve complex problems. When I'm not coding, you can find me reading about the latest advancements in AI or exploring the great outdoors.

As an active contributor to academic research, I have published a number of articles in various fields. You can find my research work on my Google Scholar profile:

• Federated Learning: A Simple Implementation of FedAvg (Federated Averaging) with PyTorch
• Hypothesis Testing with Python: Step by step hands-on tutorial with practical examples
• Why Is It So Important to Understand the Missing Data Mechanisms
• Plot and customize multiple confusion matrices with matplotlib