Naveen Valluri

Naveen Valluri

Greater Seattle Area
2K followers 500+ connections

About

Experienced Multi-Disciplinary leader for prouct and engineering. Demonstrated success of…

Experience

  • Microsoft Graphic

    Microsoft

    United States

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    Redmond, Washington, United States

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    Redmond, Washington, United States

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    Greater Seattle Area

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    Greater Seattle Area

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    Greater Seattle Area

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    Greater Seattle Area

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    Greater Seattle Area

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    Greater Seattle Area

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    Austin, Texas Area

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    Austin, Texas Area

Education

Licenses & Certifications

Volunteer Experience

Publications

  • Designing Adaptive Queueing Models in an Agent Framework.

    ISCA

    Implemented a prototype of Intelligent Agents and Decision Support Systems for the Intranet / Internet. This was a comprehensive study and implementation in the area of Agent Technology. Designed a decision support system using the Agent Technology and developed a framework to provide mobility, self-learning capabilities and location independency. The Agent framework was used with Genetic Algorithms to solve the problem of Dynamic Queuing Scalability in a networked environment.

  • Automatic Software Clustering via Latent Semantic Analysis

    Association of Software Engineering

    The paper describes the initial results of applying Latent Semantic Analysis (LSA) to program source code and associated documentation. Latent Semantic Analysis is a corpus-based statistical method for inducing and representing aspects of the meanings of words and passages (of natural language) reflective in their usage. This methodology is assessed for application to the domain of software components.

Patents

  • Delivering In Context and Immersive Help to web pages with Active and Passive Navigations including record and play back

    Filed US 6760

    Enable an in-app guidance and training system to create and deliver live, interactive and Guided Task-based walkthroughs that provide prospects and users with a personalized experience that helps them realize the value of the product - Deliver a guidance and engagement platform that guides prospects and users through guided tasks that are relevant and interesting to them
    Implement analytics throughout the experience to measure effectiveness, and drive improvements in product discovery…

    Enable an in-app guidance and training system to create and deliver live, interactive and Guided Task-based walkthroughs that provide prospects and users with a personalized experience that helps them realize the value of the product - Deliver a guidance and engagement platform that guides prospects and users through guided tasks that are relevant and interesting to them
    Implement analytics throughout the experience to measure effectiveness, and drive improvements in product discovery, conversion to purchase, adoption and upsell opportunities
    Offer new scenarios to our customers for training and customer care
    Enable guided walkthroughs that span services (o365, CRM, MSL, MDM, and Parature), thus showcasing the unique value of 1MSFT.
    The goal is to provide a fun and interactive way for users to learn about CRM that is truly relevant to their workflow, when they are most receptive to learning things that they may not have expected or discovered on their own.
    We must support all form factors including tablet and phone.

  • Processing user interaction data in a collaborative commerce environment

    Filed US 20030187677

    A user interaction analysis system receives real-time clickstream information units from a plurality of web servers and web sessions. Each information unit is associated with a single session. The analysis system uses session identifying information that is stored in a database to process the information units, to determine context values pertaining to one particular web session, and to determine that the particular web session has terminated. Upon determining that the particular web session…

    A user interaction analysis system receives real-time clickstream information units from a plurality of web servers and web sessions. Each information unit is associated with a single session. The analysis system uses session identifying information that is stored in a database to process the information units, to determine context values pertaining to one particular web session, and to determine that the particular web session has terminated. Upon determining that the particular web session has terminated, the analysis system generates a per-session data unit (PSDU) for that session. Each PSDU comprises click-stream information for a plurality of clicks, as well as context values, that pertain to the particular web session. The analysis system categorizes the PSDUs into a plurality of theme buckets and performs rule-based searches on the PSDUs in the buckets to identify PSDUs that meet certain search criteria. A report containing information about the identified PSDUs is generated.

Languages

  • Hindi

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