About

Arpan Sheetal is an experienced data scientist with a strong background in mathematics and computing. He has a demonstrated history of working in the information technology and services industry, with a focus on ElasticSearch, object-oriented programming, MongoDB, Scikit-Learn, and Python. Currently working as a Data Scientist at Innoplexus, Arpan has made significant contributions to the company's disambiguation pipeline, resulting in a 50% increase in speed and 68% reduction in cost. He has also introduced organization hierarchy and affiliation phrase extraction, improving clustering accuracy by 76% and enhancing the product's organization search results. Arpan has a Master of Technology (MTech) degree in Mathematics and Computing from the Indian Institute of Technology, Delhi. During his studies, he focused on courses that emphasized the mathematics involved in any solution or hypothesis, with elective courses in computer science. Prior to his current role, Arpan worked as a software engineer at electronictender, where he developed web forms using C# and integrated SQL databases for storing data. He also formulated a strategy and submitted a report for the company's website SEO by analyzing factors such as HTML-tag, website format, meta-tag optimization, and competitor website trends. In addition to his professional experience, Arpan has a strong technical skill set, including experience in research science, NLP, reinforcement learning, normalization, deep learning, Redis, Django, Docker, ML, TensorFlow, Kafka, and Flask. With 6.87 years of relevant experience, Arpan is a strong engineering professional who is passionate about leveraging technology to solve complex problems.