About

Rajat Verma is a highly skilled data scientist with over 4 years of experience in the field. Currently working at The Economic Times, he has made significant contributions to the company's data science team. Rajat's expertise lies in NLP, deep learning, and ML, and he has a strong proficiency in Python and SQL. Rajat's past experience includes working as a Data Science Associate at ZS Associates, where he built a custom Named Entity Recognition (NER) and Entity Linking solution for Healthcare datasets. He also developed a NLP pipeline for insights generation for online product reviews and trained deep learning models for Image segmentation for Diabetic Retinopathy. Rajat implemented adversarial networks (GANs) for Weak Supervision and built an end-to-end ML pipeline in SQL and python for Rare Disease Prediction using Optum EMR data. As a Data Science Intern at ZS Associates, Rajat developed an NLP pipeline for fine-grained sentiment analysis on unstructured data from multiple social media channels. He used algorithms such as Bidirectional LSTM, word2vec Averaging MaxEnt, TF-IDF Random Forest, and ElasticNet, and tools like Keras, Theano, and Scikit-learn. Rajat holds a Dual Degree in B.Tech. and M.Tech. in Quality Engineering Design and Manufacturing (Industrial Electronics Vertical) from the Indian Institute of Technology, Kharagpur. He also has a Master of Technology and Bachelor of Technology from the same university. Apart from his technical skills, Rajat has experience working with Apache Airflow, Search, BERT, Recommendation system, Scikit, Tensorflow, Flask, and Pytorch. He is a research scientist with a strong ability to work with large datasets and create models that can provide valuable insights. Rajat is a team player and has excellent communication skills, making him an asset to any organization.