Gaurav Sharma
About Gaurav Sharma
Gaurav Sharma is a Research Assistant at Northwestern University with a background in data science and engineering, holding a Master's in Artificial Intelligence and a Bachelor's in Electrical, Electronics, and Communications Engineering.
Current Role at Northwestern University
Gaurav Sharma is currently a Research Assistant at Northwestern University in Evanston, Illinois. He began this position in 2023, where he is engaged in advanced research activities. His role entails contributing to various research projects and leveraging his expertise in artificial intelligence and machine learning.
Past Experience at Extramarks Education India Pvt. Ltd.
Prior to his current role, Gaurav Sharma worked at Extramarks Education India Pvt. Ltd. as a Data Scientist in 2022. Additionally, from 2020 to 2022, he held the position of Data Science Engineer at the same organization. Based in Noida, Uttar Pradesh, he was tasked with developing data-driven educational solutions and honing his skills in image classification, object detection, and AI-based modeling.
Research Internships at IIT Guwahati
Gaurav Sharma served as a Research Intern at the Indian Institute of Technology, Guwahati. His first stint was in 2019 for two months, followed by a longer internship from 2019 to 2020 lasting eight months. During these internships, he focused on research projects that enhanced his problem-solving skills and deepened his knowledge in engineering and technology.
Educational Background
Gaurav Sharma holds a Master of Science (MS) in Artificial Intelligence from Northwestern University, completed in 2023. He also earned a Bachelor of Technology (B.Tech.) in Electrical, Electronics, and Communications Engineering from SRM Institute of Science and Technology (SRMIST) in Chennai, Tamil Nadu, completed in 2019. His formal education provided a solid academic foundation in his field.
Technical Skills and Expertise
Gaurav Sharma has extensive proficiency in SQL and Python, essential for data analysis and information retrieval. Over his career, he has developed AI-based models for language modeling, text classification, machine translation, and conversational AI. His expertise in image classification and object detection is complemented by his adaptability and learning agility, making him highly effective in dynamic environments.