Memoir

Financial Markets Practitioner | Derivatives Expert | Data Science Professional

With over 20 years of experience in derivatives and data analysis, Kannan Singaravelu is a seasoned financial markets practitioner. His expertise spans multiple asset classes, and he has a robust background in data science.

Kannan's professional journey includes a significant tenure at Bloomberg as a market specialist, where he advised institutional clients on derivatives solutions and was among the early adopters of the BQuant platform. His deep understanding of financial markets and innovative approach has made him a trusted advisor to institutions and corporations, particularly in the realm of Machine Learning in Finance.

Highly regarded for his Python Labs and Machine Learning programs, Kannan's courses are in high demand. He currently lends his expertise to Fitch Learning's CQF Program, and his work is influential enough to have been translated into Chinese.

Kannan holds a degree in Mechanical Engineering, an MBA, a Certificate in Quantitative Finance from the CQF Institute, and a certification in Applied Data Science from WorldQuant University. He is also the creator of the popular Quantmod Python library.