About

Hemil Shah is a skilled software engineer with a passion for learning and leveraging new technologies. He completed his Masters in Data Science from NMIMS University Mumbai, IND and has experience working with machine learning, deep learning, artificial intelligence, and business analytics problems. Hemil is adept at supporting every step of the data analysis process, from capturing accurate data to presenting impactful insights. He is proficient in programming languages such as Python, SAS, Shell Scripting, Tensorflow, and Scikit-Learn. Hemil is also well-versed in data science concepts such as statistics, machine learning, deep learning, and NLP. He has experience working with databases such as SQL and MongoDB. Currently, Hemil is working as a Software Engineer - Analytics at SAS R&D, where he applies his expertise in data science to develop innovative solutions for clients. Prior to this, he worked as a Data Science Intern at Jio, where he developed a platform for ingesting complex data files from end-users to on-premise servers and push into MongoDB Database along with metadata and file contents. Hemil also collaborated with senior management on multiple functions, reducing the end-users time by almost 50% for ingestion of data files to on-premise servers. Hemil's educational background includes a Master's degree in Data Science from NMIMS University Mumbai and a Bachelor's degree in Computer Engineering from the University of Mumbai. He has a relevant experience of 2.77 years in the field of software engineering, deep learning, data science, ML, SQL, MongoDB, NLP, Scikit, Python, and Tensorflow. Hemil is a highly motivated and results-driven individual who is committed to delivering exceptional results.