About

Animesh Prafulla Chandra is an Associate Manager at Accenture with expertise in data architecture, project management, and solution architecture. He is a PMP certified professional with over 8 years of experience in conceptualizing data offerings and delivering business intelligence engagements. Animesh is currently associated with the Data Strategy Group at Accenture Technology, delivering growth roadmaps and prioritizing focus areas for clients to become a data-powered enterprise. Animesh has been rated as a top performer at Deloitte Consulting for consecutive years, where he gained high-quality experience in data analytics consulting and over a year of overseas client-side experience. He led the analytics team of six consultants and business analysts to successfully deliver over 15 releases on the engagement, processing over 500 million records on a daily basis and providing improved service delivery performance monitoring for better decision-making, catering to more than 600 users. Animesh is noted for his amazing team management skill and for repeatedly providing a no-surprise experience to the client. He has worked in complex environments and effectively strengthened relationships with clients and teammates. Animesh is regarded as a subject matter expert by senior leadership and has defined Accenture's growth strategy to upscale data offerings through specialized industry data models, leading to the acquisition of a niche organization to develop industry-specific verticalized solutions. Animesh has a Master of Business Administration (MBA) from IIM-Lucknow and a Bachelor of Engineering (B.E.) in Electronics from Vivekanand Education Society's Institute of Technology. He is also a Certified Scrum Master (CSM) and Six Sigma - GB certified. Animesh has expertise in AWS, GCP, and is a Senior Software Engineer. He is currently leading the Innovation Stream for a large UK Telecom Client as Program Manager for a team of 20 members, to migrate on-premise Teradata EDW to GCP. Animesh is recognized for development and industrialization of multiple reusable assets across projects, optimizing the development effort by 20%.