I am a machine learning/ Deep learning engineer having 1+ years of experience. I have a thorough knowledge of all algorithms mathematically and programmatically both. Also, I have worked with Convolutional neural networks and other AI applications like computer vision in robotics as well. Here are some of the projects that I have worked on.

1) Skin Lesion classification using dermoscopic images - Here images were classified among 8 classes of lesion containing one completely unknown class, meaning the training/validation process does not see this type of image. - This project was developed using the latest methods like ensemble learning, Transfer learning using PyTorch.

2) Products classification from a very small dataset - This model was trained on a dataset that contained only 20 images per class having a total of 4 classes. Accuracy of more than 60% was achieved here.

3) Customer churn analysis - Knowing which customers to give offers or which customer is going to leave our platform is very important for all web platform owners. This algorithm helps platforms to detect the lifetime of customers from their buying patterns and other parameters well in advance. - This was also integrated with powerBI in order to make platform owners' life easier and they can analyse results with attractive reports.

4) Product Category classification using Natural Language Processing and Deep Learning - This algorithm auto labels categories of products from their description or any other details. Our method has shown the potential to classify products even with 3000 classes and 96% accuracy. - So many advanced technologies are used behind this algorithm.

I have worked on so many other deep learning projects as well. I have very good experience with the latest technologies in the AI market and also have hands-on experience with almost all area including robotics. I use python as a development language and PyTorch as a deep learning framework to develop my projects.