Pavan Kumar Bandaru

Pavan Kumar Bandaru

Hyderabad, Telangana, India
3K followers 500+ connections

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About

Data and Analytics Officer | Visionary Leader in Data Engineering, AI &…

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Activity

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Experience

  • Dun & Bradstreet India Graphic

    Dun & Bradstreet India

    Hyderabad, Telangana, India

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    India

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    Hyderabad, Telangana, India

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    Hyderabad, Telangana

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    Hyderabad Area, India

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    Hyderabad

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    India and USA

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    Mumbai Area, India

Licenses & Certifications

Volunteer Experience

  • TEDxHyderabad Graphic

    Organizing committe of Infosys

    TEDxHyderabad

    - Present 9 years 2 months

    Science and Technology

    #TedxwithInfy

  • Board of Studies

    Education

    - Present 1 year 8 months

    Education

    Working as BOS for many engineering colleges in helping them to realign the curriculum as per industry trends.

  • Board of Studies

    Education

    - Present 1 year 8 months

    Education

    Working as BOS for many engineering colleges in helping them to realign the curriculum as per industry trends.

Publications

  • Moving from BI to BigData

    Silicon India

    Insight to customers on moving from BI to Bigdata

    See publication

  • Applicabilty of Predictive Analytics to National Data Repository

    Indianoilandgas.com

    During the process of Exploration and Production of oil and gas, a huge volume and variety of data transformations happens
    across various enterprise applications. The Operational efficiency begins with understanding and effective utilization of this data.
    With the existence of many E&P’s across the country, the overall data will be in zeta bytes (ZB). This data needs to be analyzed
    and stored for a meaningful use to take right decisions.

    A concept of storing all the crucial…

    During the process of Exploration and Production of oil and gas, a huge volume and variety of data transformations happens
    across various enterprise applications. The Operational efficiency begins with understanding and effective utilization of this data.
    With the existence of many E&P’s across the country, the overall data will be in zeta bytes (ZB). This data needs to be analyzed
    and stored for a meaningful use to take right decisions.

    A concept of storing all the crucial natural resources information related to each of the exploration and producing (E&P) units
    within a country collectively in a centralized repository is National Data Repository (NDR). Usually, NDRs are used to store the data
    generated inside the country by the industry for multiple purposes that include promotion of E&P operations within the country and
    to reduce the business risks by utilizing this data. The Effective way of capturing, storing, contextualizing, and visualize the realtime
    information—and make it available to the right people at the right time to enable the right decisions is the key for success.
    However, the benefits of NDRs in some of the countries are underutilized due to lack of predictive analytics. This paper discusses on how best a country can apply predictive analytics to the NDR’s data.

  • Business Intelligence is boon or bane

    Internal

    Today, every division of an organization-– from manufacturing and assembling, sales and marketing to customer service and inventory management - has the need to access corporate data. Information Technology architects, analysts and developers are constantly scrambling to keep up with end-user pleas for analyzing more information; evidence for this is the enormous sums spent on Business Intelligence tools and technologies.
    The emergence of Business intelligence software lies in need to…

    Today, every division of an organization-– from manufacturing and assembling, sales and marketing to customer service and inventory management - has the need to access corporate data. Information Technology architects, analysts and developers are constantly scrambling to keep up with end-user pleas for analyzing more information; evidence for this is the enormous sums spent on Business Intelligence tools and technologies.
    The emergence of Business intelligence software lies in need to provide accurate and timely information to the decision makers.
    This white paper will give you an idea on how to make the best use of the application and save cost by understanding the below 3 common mistakes. It also provides guidance on how to avoid and/or overcome bad practices in order to tap into the true power of BI. By reading this paper, you will have a good knowledge on how to gain BI success with your initiatives. This paper has not covered the technical best practices in terms of data model, design, performance tuning, analysis of sources, data governance, etc., This paper has covered the best practices before the actual start of the design and implementation phases

    See publication

Honors & Awards

  • Microsoft Business Impact Award

    Microsoft CSS Org

    Awarded the Microsoft Impact Award for my role in enabling stakeholders with Data & Analytics applications and for managing the team of Data scientists.

Languages

  • English

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  • Hindi

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