Rajesh Math

Rajesh Math

Greater Boston
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ADROIT

About

Connecting the Right Technology to Right Problem with Right Resources
As a 21st…

Articles by Rajesh

Activity

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Experience

  • ADROIT

    Greater Boston Area

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    Greater Boston Area

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    Greater Boston Area

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    Greater Boston Area

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    Sydney, Australia

Education

  • Boston University Graphic

    Boston University

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    Activities and Societies: Honors

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    Activities and Societies: Merit Student

    Masters In Computer Science

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    Activities and Societies: Merit Student

    MBA with concentration in Computer Management

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    Activities and Societies: IT Cell Coordinator and Placement Team Coordinator

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Publications

  • Big Data Analytics

    CSI - 2015; 50th Golden Jubilee Annual Convention

    The term ‘Big Data’ initially by Roger Magoulas [1] from O’Reilly media in 2005 is all modern day large data-sets and different stakeholders understand the phenomenon in multiple ways. Knowledge workers view Big Data as huge correlated data sets requiring super large computing powers to analyze process and derive meaningful conclusions. Big Data is multidimensional data these days ranging from info-bytes from newspapers to online journals, from tweets to YouTube videos, social networking…

    The term ‘Big Data’ initially by Roger Magoulas [1] from O’Reilly media in 2005 is all modern day large data-sets and different stakeholders understand the phenomenon in multiple ways. Knowledge workers view Big Data as huge correlated data sets requiring super large computing powers to analyze process and derive meaningful conclusions. Big Data is multidimensional data these days ranging from info-bytes from newspapers to online journals, from tweets to YouTube videos, social networking updates and blog discussions, which any business/organization is accumulating thru various information channels. The huge explosion of data and increase in Internet devices has led to rapid rise of Big Data. Majority of data that contributes to Big Data comes from internet sources or are Internet of Things. The scale of data set referred as "Big Data can be defined as data that legacy DBMS tools can’t load and understand the heterogeneous relationship. With the massive current technological advances the cutoff size of data sets qualifying as Big Data are bound increase We look at some of underlying concepts of Big Data and propose solutions in Service Industry as there the quality of service is key differentiator as compared traditional manufacturing industry where quality of finished goods or product is important. The primary advantage of Big Data is by aggregating large amount of data integrated from various sources such as CRM, social media, email, web, mobile and tablet and data acquisition from other technologies. In this paper, we try to review the potential applications of Big Data in Service Industry and understand the source of its decision making data from Internet. We understand that the business is not interested in single data but desires to look at the trend and patterns in the data which might boost the business tremendously, and Internet of things would be creating streams of data needed for this purpose.

Courses

  • Deep Learning and Machine Learning

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  • IPR Trademarks

    117

  • Software Engineering, Advanced DBMS & Software Project Management

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Organizations

  • IEEE

    Member

    - Present

    Involved as Speaker and Resource person for Big Data/IOT

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