Deepak brings with him 25+ years of experience, wherein he has built multiple successful, profitable companies in India and the USA

Mumbai : In our pursuit to become India’s most trusted and preferred Fintech brand, Angel One Ltd. (formerly known as Angel Broking Ltd.) strengthened its leadership team by onboarding Deepak Chandani as Chief Data Officer. The appointment is a significant advancement in the Fintech company's strategic plan to positively impact a billion lives through the utilization of data and technology.
In his role as the CDO, Deepak will be responsible for overseeing the data and analytics strategy at Angel One. With Deepak’s onboarding, the company is better positioned to harness the benefits of a large data lake, through Artificial Intelligence, Machine Learning and Analytics. 
He has 25+ years of valuable experience having worked with renowned companies in India and the USA, such as Infosys, Apple Inc, AppDirect, Global Logic, Teradata, UBS, and British Petroleum, where he managed sites and led high-performance product and engineering teams. He has a proven track record of integrating data from diverse channels and touchpoints to build customer-centric solutions.
Mr. Dinesh Thakkar, Chairman and Managing Director of Angel One Ltd., said, “In the near future, our goal is to become the most trusted Fintech company. Given Deepak’s impressive record, we believe his extensive knowledge and deep understanding of data and technology, will facilitate Angel One’s future growth. We are confident he will guide us to make informed decisions, identify new opportunities and deliver unparalleled value to our customers.”
Mr. Deepak Chandani, Chief Data Officer of Angel One Ltd., said, “Angel One has grown tremendously over the years, and I feel privileged to be a part of the company at a time when they are working towards achieving an ambitious goal of touching a billion lives. I look forward to being a catalyst in the company’s future growth. I am excited to collaborate with teams across departments and juice out solutions based on the huge data lakes available, to further improve the overall client experience.”

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