847-505-9933 | +91 20 66446300 info@datametica.com
  • Rajiv Gupta
    Rajiv GuptaCo-Founder & Director

    Rajiv has been helping clients take informed decisions and ‘see the invisible’ using descriptive and predictive analytics, Big Data and Advanced Analytics.

    In his previous thought leadership role, he was leading the Business Intelligence & Analytics (BI & Big Data) Practice at one of the largest US Retailer. He was instrumental in setting up the offshore Centre of Excellence for Information Analytics & Innovation.

    In his earlier roles, he has led Business Intelligence & Analytics initiatives for very large Retailers & Telecom organizations.

    Rajiv is a well known visionary in Information Management & Analytics Arena. He has chaired multiple conferences and actively participates at global events and seminars as speakers.

  • Dr. Phil Shelley
    Dr. Phil ShelleyDirector
    Dr. Phil Shelley is a well known strategist and business leader who has spent over decade in leading US and global organizations in roles including CXO / CEO level positions. He has more than two decade of Industry experience in multiple domains.

    Phil understands the need for speed to translate raw data into meaningful information, to take strategic decisions based on enterprise data, predictive analytics & big data framework. His unique perspective about transforming both structured & unstructured data at scale into value is the need of business today.

    Phil is recognized as an industry leader, speaker and educator in the use of Big Data technologies and techniques, Advanced Analytics and modernization of legacy systems.

    Phil lends his experience as an advisor and Director of DataMetica to ensure that the Big Data services are aligned with client needs.

  • Deepak Badhani
    Deepak BadhaniCo-Founder
    Deepak is an emerging leader, and an expert in large scale Big Data, Data Warehousing, Business Intelligence and Analytics solutions. As a seasoned IT professional, Deepak is also known for his sharp business acumen along with a highly effective blend of Solutions and Service Delivery experience, a penchant for analytics, and strong technical skills.Prior to co-founding DataMetica, Deepak has worked with a major US retailer, where he has managed key aspects such as data architecture, delivery and support in Big Data Hadoop.Deepak is a BE in Electronics from Mumbai University, and has completed his General Management Certification Program from IIM-Bangalore for young engineers –MPRE. He is a Certified Recruitment Analyst and has successfully completed Franklin Covey’s ‘The 7 Habits for Managers®’, a leadership program.

    An early implementer of Big Data technologies, Deepak has a wealth of knowledge in Big Data. His natural leadership skills have been an asset in challenging projects, and have been a key factor in ensuring quality service to the clients. Deepak is a good orator and is often invited to speak at various CSI chapters and other seminars on Big Data implementation.

  • Niraj Kumar
    Niraj KumarCo-Founder
    Niraj is an emerging leader with a broad range of technology expertise. He is a TOGAF-certified Enterprise Architect with a strong background in the technology stack of Solution Architecture, Data Architecture, Business Intelligence and Big Data information analytic applications.Prior to co-founding DataMetica, Niraj worked with a major US retailer where he played a key role in research, strategy, and handling several mid-sized teams simultaneously. His efforts in designing, serving up and leading the Big Data COE practice and related projects on Hadoop also won him the “Innovator of the Year” award.

    Niraj is well-versed in establishing best practices and governance for development and architecture teams. He plays a crucial role in evaluating and acquiring tools in open source technologies to minimize costs, yet improve performance.

    As an early implementer of Hadoop in Big Data Solutions, Niraj has had the opportunity to work on large projects and adds tremendous value to the architecture and solution areas of new Hadoop projects and environments that target big data processing activities.

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