Madanish Kanna
About Madanish Kanna
Madanish Kanna is a Senior Manager at Mad Street Den, where he leads the Customer onboarding function for Vue.ai and Getblox.ai. He has an extensive educational background, including degrees in Psychology, Electronics & Communication Engineering, and an MBA, along with expertise in computer vision and artificial intelligence.
Current Role at Mad Street Den
Madanish Kanna serves as a Senior Manager at Mad Street Den, a position he has held since 2021. He is based in Chennai, Tamil Nadu, India. In this role, he leads the Customer onboarding function specifically for the company's products, Vue.ai and Getblox.ai. His responsibilities include overseeing the integration and support processes for new customers, ensuring a smooth transition and effective utilization of the company's AI-driven solutions.
Education and Expertise
Madanish Kanna has a diverse educational background. He earned a Master's Degree in Psychology from Open University, studying from 2013 to 2015. He also holds an MBA with a focus on Marketing and Strategy from the Indian Institute of Management, Kozhikode, completed between 2011 and 2013. Additionally, he studied Public Policy Analysis at The Takshashila Institution, achieving a Graduate Certificate in Public Policy in 2017. His expertise includes computer vision and artificial intelligence, which are integral to his current role.
Academic Background
Madanish Kanna's academic journey includes a Bachelor's Degree in Electronics & Communication Engineering from SSN College of Engineering, completed from 2005 to 2009. He also participated in an online course on Human Behaviour at the University of Warwick in 2014. His foundational education was completed at SBOA Chennai, where he studied Science from 2001 to 2005.
Professional Experience
With a career spanning several years, Madanish Kanna has developed a strong foundation in customer onboarding and management within the technology sector. His role at Mad Street Den emphasizes his ability to bridge technical expertise with customer needs, particularly in the areas of artificial intelligence and computer vision. His experience in these fields positions him to effectively lead initiatives that enhance customer experience and product adoption.