About

Naman Madan is a highly motivated Quant with a strong background in computer science and economics. He is currently working as a Research Consultant at worldquant, where he applies his expertise in AI, ML, and infrastructure to develop innovative solutions for complex business problems. Prior to his current role, Naman worked as a Quant Developer & Researcher at quantxpress technologies, where he gained valuable experience in building and implementing quantitative trading strategies. He also completed a summer internship at couture.ai, where he worked on developing machine learning models for predicting customer behavior. Naman holds a Bachelor of Engineering degree in Computer Science and a Master of Science degree in Economics from the prestigious Birla Institute of Technology and Science, Pilani. He also completed the CORe (Credential of Readiness) program from Harvard Business School Online, which further enhanced his business acumen. With a relevant experience of 0.35 years, Naman has a strong technical background and a passion for solving complex problems. He is well-versed in research and has a proven track record of delivering high-quality results. His tech stack includes Research Scientist, AI, ML, and infrastructure. Overall, Naman is a talented and dedicated professional who is committed to achieving excellence in his work. He is always looking for new challenges and opportunities to learn and grow in his career.