Kannan Venkataramanan is a data scientist and quantitative analyst with extensive experience in implementing data-driven solutions for Fortune 500 companies and large bank holding companies. He has a proven track record of using his skills in data wrangling, visualization, machine learning, and natural language processing to deliver impactful insights and products that transform businesses. His innovative work includes proof-of-concepts such as fraud detection, NLP-based KYC, and news analysis as part of Anti-Financial Crime compliance.

Kannan Venkataramanan has a strong educational background in data science, having earned a Master's degree in the field from New York University. He also has a Bachelor's degree in Mechatronics from Shanmugha Arts, Science, Technology, and Research Academy.

Venkataramanan has worked as a Graduate Teaching Assistant and Section Leader at New York University in addition to professional roles at Prudential Financial, CRISIL Global Research & Analytics, Mu Sigma Inc., and Servion Global Solutions. He has also conducted research as an intern at the Indian Institute of Technology in Madras.

Venkataramanan's proficiencies include Python, R, SQL, Tableau, and AWS. He is a talented data scientist with a keen ability to turn data into actionable insights that drive positive change for businesses.