About

Prashant Singh is an experienced Data Scientist with over 8 years of experience in the software industry. He has worked on various types of data science and artificial intelligence projects and has mastered solving different kinds of problems through machine learning, natural language processing, big data, and deep learning technology. Prashant's skill set includes Python, Sklearn (scikit-learn), Keras, Pandas, NumPy, PySpark, Hadoop, Spacy, NLTK, Hive, HBASE, SQL, MongoDB, SOLR, AWS, and MongoDB. Currently, Prashant is working as an Engineering Manager at CareerBuilder, where he leads a team of 4-5 engineers and works on whole projects, from design to development and deployment. He has worked on EDGE, a Big Data pipeline that consolidates job seekers' information from different sources and creates a unified profile of a candidate. Additionally, he has also worked on Benefit Recommendation, an AI-based recommendation system that predicts the best insurance plan for a person given demographic information, and Identifier Comparison, an AI-based JSON data comparison module that finds the best match JSON given JSON. In the past, Prashant has worked at Monster India as a Data Scientist, where he managed the company's largest team of data science. He developed and designed AI-based modules like Semantic Search, Job Recommendation System, Chat Bot, and Resume Parsers. He also worked at Wipro as a Senior Software Engineer, where he developed and designed AI and big data-based modules to process millions of data and extract useful information from data. Prashant has a Master of Technology (MTech) in Computer Science from ABV- Indian Institute of Information Technology and Management, Gwalior, India, and a Bachelor of Technology (B.Tech.) in Computer Science from IETE, Delhi. He completed his 12th from Sinhgad College of Arts Science of Commerce, Pune. Prashant's tech stack includes Senior Software Engineer, NLP, ML, Data Scientist, Python, Research Scientist, Recommendation system, Scikit, AI, Keras, Docker, Big Data, Deep Learning, Hadoop, AWS, SQL, MongoDB, Spark, Search, Tensorflow, Apache Hive, Pandas, Jenkins, and CNN. He has relevant experience of 9.20 years.