About

Rajesh Shreedhar Bhat is a Senior Data Scientist at Walmart, Texas with over 6 years of experience in the data science domain. He specializes in Computer Vision (CV) and Natural Language Processing (NLP) and has published research papers in these fields in conferences such as CIKM, CoNLL, ASONAM, ECML PKDD, etc. Rajesh has also authored blogs in Towards Data Science and Weights and Biases, being part of the author program. Rajesh is a Google Developer Expert in Machine Learning (ML) and a Kaggle Competitions Expert with 3 silver and 2 bronze medals. He has been a speaker at various national and international conferences, including ODSC, Data/Spark AI Summit, Seoul AI Summit, Silicon Valley AI Summit, and Data Hack Summit, etc. Additionally, Rajesh has conducted ML & DL workshops in GE Healthcare, IIIT Kancheepuram, and many other Colleges/Universities. In his current role at Walmart, Rajesh is working on building CV applications for Walmart stores, leveraging traditional image processing and deep learning techniques. He is also working on proof-of-concept projects related to NLU and Information Retrieval. In his previous role at Walmart, Rajesh worked on text extraction from product images using STN-CNN-BiLSTM Network with attention mechanism, trained on synthetically generated image data using Wal-mart product descriptions. He also worked on Sentiment Analysis & Topic modeling on review text using CNN, Bi-LSTM networks, and Transfer Learning techniques. Rajesh completed his Bachelor’s degree from PESIT, Bangalore, and his master's degree in CS from Arizona State University. His educational background also includes PUC (Science) from Dr.A.V.Baliga College of Arts and Science Kumta and High School from Nirmala Convent Kumta. Rajesh's tech stack includes Data Science, Research Science, ML, AI, NLP, Deep Learning, Spark, Information Retrieval, NLU, Computer Vision, Image Processing, CNN, infra, and Sentiment Analysis. With relevant experience of 5.11 years, Rajesh is a highly skilled data scientist with a passion for solving complex problems.