Sujeet Kumar
About Sujeet Kumar
Sujeet Kumar is a Data Scientist with expertise in natural language processing and machine learning, currently working at Scry Analytics in Gurgaon, India. He has developed various systems for text extraction, sentiment analysis, and web crawling, and holds a Bachelor of Technology in Computer Science from Indraprastha Institute of Information Technology, Delhi.
Work at Scry Analytics
Sujeet Kumar has been employed at Scry Analytics as a Data Scientist since 2018. In this role, he has focused on developing advanced data processing techniques. His work includes implementing a natural language processing and machine learning pipeline designed to extract text from PDFs and images, with an emphasis on attribute matching and entity/value extraction. Additionally, he has created a Python Flask API for Ngram analysis, regex searching, and pattern filtering of messages.
Education and Expertise
Sujeet Kumar earned a Bachelor of Technology (BTech) in Computer Science from the Indraprastha Institute of Information Technology, Delhi, from 2014 to 2018. His educational background has provided him with a solid foundation in computer science principles, which he has applied in various projects throughout his career. His expertise includes natural language processing, machine learning, and software development.
Previous Experience
Prior to his current role, Sujeet Kumar worked as a Student Developer at TEAMMATES for three months in 2017. He also completed a two-month internship at Humana People to People India in 2015, where he gained practical experience in the field. These positions contributed to his development as a data scientist and enhanced his skills in software development and data analysis.
Projects and Contributions
Sujeet Kumar has contributed to various projects that highlight his skills in data science and software development. He developed an aspect-based sentiment analysis system that extracts opinions from social channels and web forums, utilizing a combination of natural language processing and deep learning techniques. Additionally, he built a custom parser for web crawling and scraping using the Jsoup library and developed parsers for the Apache Nutch Framework to enable crawling of specific websites.