Mayank Rasu is a seasoned professional with over 15 years of experience in quantitative analytics and financial modeling. His expertise lies in leveraging advanced machine learning, statistical modeling, and AI-driven solutions to address complex financial challenges. Throughout his career, he has worked with leading financial institutions, where he has developed and reviewed models focused on risk management, predictive analytics, and financial product development. His work is grounded in mathematical principles, aimed at delivering actionable insights for real-world financial decision-making.

In addition to his professional accomplishments, Mayank has served as a guest faculty member at the Birla Institute of Technology and Science, Pilani, where he taught applied machine learning and artificial intelligence. His passion for teaching is evident in his commitment to equipping students with both theoretical foundations and practical experience in data science and financial engineering.

Mayank combines his technical expertise with a strong desire to mentor and educate, helping learners develop the skills necessary to excel in data science and finance. He emphasizes real-world applications, guiding students through the intricacies of data-driven decision-making, model development, and the strategic use of AI and machine learning to solve business problems effectively.