I am Mayank Rasu, with over 15 years of experience in the field of quantitative analytics and financial modeling. My expertise lies in applying advanced machine learning, statistical modeling, and AI-driven solutions to solve complex financial problems. Throughout my career, I have worked at leading financial institutions, developing and reviewing models for risk management, predictive analytics, and financial product development. I focus on using mathematical principles to create actionable insights that address real-world financial challenges.

I have also had the privilege of serving as a guest faculty member at Birla Institute of Technology and Science, Pilani, where I taught applied machine learning and artificial intelligence courses. Teaching is something I am deeply passionate about, and I strive to provide my students with both a solid theoretical understanding and practical experience in data science and financial engineering. My goal is to empower learners to use quantitative methods and AI techniques to solve challenging problems in finance and other industries.

In my work, I have been able to combine my technical skills with my desire to teach, helping students develop the skills needed to succeed in data science and financial engineering careers. I guide my students through real-world applications, emphasizing the importance of data-driven decision-making, model development, and the application of AI and machine learning to solve business problems effectively.