Sanchari Dan is an Applied Scientist with a decade of experience building and researching ML and NLP solutions across industry and academia, currently working at Cleartrip after roles at Joveo, PwC US AI Labs, and Singapore Management University. She specializes in knowledge representation and understanding using Transformer-based architectures, attention-related techniques, and practical pipelines in TensorFlow and PyTorch. Her background in electrical engineering from NIT Rourkela underpins hands-on expertise spanning NER, coreference, relation extraction, question answering, and information extraction for enterprise automation. Early research and internships in computer vision and recommendation systems sharpened her ability to combine visual and textual signals for product-facing features. She’s motivated by applying creative, research-driven methods to real-world business problems and prefers roles that let her push the boundaries of NLP while delivering measurable impact.
10 years of coding experience
5 years of employment as a software developer
Bachelor’s Degree, Electrical Engineering, Bachelor’s Degree, Electrical Engineering at National Institute of Technology Rourkela
High School, Science, High School, Science at Salt Lake School, Kolkata
Classification of images in CIFAR 10 dataset uding a deep convolutional neural network architecture. The backpropagation formulae have been derived for the CNN and accordingly the algorithm developed. Mini batch gradient descent is used to learn the biases and filters of the network.
Contributions:4 commits, 1 PR, 1 push in 3 years 5 months
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