Nitin Deore
About Nitin Deore
Nitin Deore AGDATA India
Nitin Deore is the Managing Director and Vice President of Engineering at AGDATA India. In his role, he oversees the engineering department, driving the strategic direction and ensuring the successful delivery of projects. AGDATA India is known for its contributions to data-driven decision-making solutions in various industries. Deore's leadership is pivotal in managing the engineering team and aligning their efforts with the company’s broader business objectives.
Nitin Deore Education and Expertise
Nitin Deore holds a Bachelor of Engineering and a Bachelor of Law, both from Pune University. His academic background provides a strong foundation in technical and legal aspects of engineering projects. With over 20 years of experience in the software industry, his expertise includes software engineering, project management, and developing innovative solutions. He has a comprehensive understanding of multiple industries such as Pharmaceutical, Mechanical, Finance, Healthcare, and Contact Center as a Service (CCaaS).
Nitin Deore Background
Nitin Deore has a significant background working with both large enterprises and innovative startups. Prior to his current role at AGDATA India, he was the Director of Engineering at NICE India, where he led the Performance Management suite of products. His experience spans developing and implementing SaaS solutions, including Industry 4.0 and AI/ML products tailored for retail customers. His career trajectory shows a consistent focus on leveraging technology to solve complex business problems.
Nitin Deore Professional Experience
With extensive experience in the software industry, Nitin Deore has held several key positions. At NICE India, he served as the Director of Engineering, where he was instrumental in leading the Performance Management suite. His role involved overseeing product development, managing engineering teams, and ensuring client satisfaction. Additionally, his work with Silicon Valley startups involved creating and refining SaaS solutions, particularly for Industry 4.0 applications and AI/ML products targeting retail sectors.