Jatin Mandav

I am good at deep learning oriented problems with Python at my hand. What fascinates me about it is how a computer can "learn" to do something. I have been a finalist to Smart India Hackathon 2018, task at hand was to detect and recognize traffic signs in real-time. I have also been in top 10 in Axis Bank AI Challenge(Hackathon) for signature varification. One of the complex project that I have done is car damage analysis for a company, training a Mask-RCNN model for detecting car parts, using YOLO model for detecting damage and classifying damage with each part of car. Another complex one that I did was to do sentiment analysis using Google's Universal sentence encoder, word2vec and fastText. I learned a lot of things during all these projects. I am basically a self-taught student so everything that I learn is from scratch and it really helps understand the concept and get a good grip on it.