About

Shubham Singh is an Analytics Engineer at Schlumberger with a passion for data sciences and fine arts. With almost 5 years of relevant experience, he is an optimist and hard-working individual who is always looking to improve his skills and take on new challenges. Shubham started his career as a Software Developer at IBM before moving on to become a Summer Intern where he worked on Transition and Transformation Analytics. During his time there, he developed an issue-based text categorization model to extract critical issues from ticket data, and obtained a compact representation of text while increasing immunity against misspelled words and out of context information. Shubham's educational background is in Mathematics and Computing, having completed his BTech and MTech degrees at the Indian Institute of Technology, Delhi in 2018. He has a strong understanding of SQL, Keras, NLP, Scikit, Python, Tensorflow, and Pandas, and is always looking to expand his knowledge and expertise in these areas. As an Analytics Engineer at Schlumberger, Shubham is responsible for analyzing data and providing insights to help improve business operations. He is a skilled software engineer with a keen eye for detail and a passion for problem-solving. Shubham's ability to work collaboratively with others and his strong communication skills make him an asset to any team. In addition to his professional pursuits, Shubham is also a fine arts enthusiast. He enjoys exploring different art forms and is always looking for new ways to express himself creatively. Shubham's passion for both data sciences and the arts make him a well-rounded and dynamic individual, with a unique perspective on the world around him.