About

Kunal Bansal is an experienced software engineer with a strong background in computer software and financial services industry. He has a demonstrated history of working with Python, C++, quantitative finance, Java, and machine learning. Kunal is a highly skilled engineer with a Bachelor of Technology (B.Tech.) focused on Electronics and Communication Engineering (Major) and Computer Science and Engineering (Minor) from the prestigious Indian Institute of Technology, Roorkee. Currently, Kunal is working as a Graduate Teaching Assistant at Massachusetts Institute of Technology, where he is involved in teaching and research activities related to Financial Data Science & Computing under the guidance of Prof. Paul Mende. He has previously worked as a Quantitative Research Intern at Belvedere Trading, LLC and as a Quantitative Analyst at Goldman Sachs. Kunal is passionate about technology and has a strong interest in research, machine learning, and data science. He has a great understanding of the latest technologies and has worked on various projects related to software engineering, research, and quantitative finance. Kunal is a Research Scientist, ML, Data Scientist, Software Engineer, and Python and Java expert. Kunal's educational qualifications include a Bachelor of Technology (B.Tech.) in Electronics and Communication Engineering with Minor in Computer Science and Engineering from Indian Institute of Technology, Roorkee, and he is currently pursuing a Master of Finance in Financial Engineering from Massachusetts Institute of Technology. With 4.53 years of relevant experience, Kunal is a highly skilled and motivated professional who is always eager to learn and grow. He has a strong work ethic and is committed to delivering high-quality work. Kunal is an excellent team player and has exceptional communication skills. He is always willing to help his colleagues and is known for his positive attitude and problem-solving skills.