Rajashekar P.

Rajashekar P.

Herndon, Virginia, United States
978 followers 500+ connections

About

Helping customers with big data on GCP
Big Data Consultant with graduate degree in…

Activity

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Experience

  • Google Graphic

    Google

    Herndon, Virginia, United States

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    New Jersey, United States

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    Greater New York City Area

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    Summit, New Jersey

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    Summit, New Jersey

Education

  • Rutgers University Graphic

    Rutgers University-New Brunswick

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    Science Courses : Advanced Analytics, Applied Statistics, Regression Analysis, Cloud Computing & Big data

    Business Courses: Project Management, Finance & Accounting, Digital Marketing, Communication & Leadership

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Licenses & Certifications

Volunteer Experience

  • NATIONAL CADET CORPS - India Graphic

    Senior Under Officer

    NATIONAL CADET CORPS - India

    - 2 years 3 months

    Social Services

    The National Cadet Corps is the Indian military cadet corps with its head Quarters at New Delhi. It is open to school and college students on voluntary basis.The National Cadet Corps in India is a voluntary organization which recruits cadets from high schools, colleges and Universities all over India.

    I am into NCC from my 7th standard. I have completed and achieved 'A', 'B','C' certificates with 'C','A','B' grades respectively. We have attended two camps during these period, which gave…

    The National Cadet Corps is the Indian military cadet corps with its head Quarters at New Delhi. It is open to school and college students on voluntary basis.The National Cadet Corps in India is a voluntary organization which recruits cadets from high schools, colleges and Universities all over India.

    I am into NCC from my 7th standard. I have completed and achieved 'A', 'B','C' certificates with 'C','A','B' grades respectively. We have attended two camps during these period, which gave me an abundant knowledge and skill to live in this society.

Publications

  • Sentiment Analysis using HARN Algorithm

    6th International Conference on IT Convergence and Security(ICITCS), Prague 2016

    HARN algorithm is an unsupervised learning algorithm which uses basic structure of sentences, domain dictionaries and pre-defined polarities to classify the given sentence.

    Project Details:

    - Study of existing algorithms/techniques and their limitations for sentiment analysis.
    - Developed a novel algorithm named HARN to challenge these limitations.
    - The algorithm successfully dealt with the challenge of comparison & Domain specific sentences.
    - Working knowledge of…

    HARN algorithm is an unsupervised learning algorithm which uses basic structure of sentences, domain dictionaries and pre-defined polarities to classify the given sentence.

    Project Details:

    - Study of existing algorithms/techniques and their limitations for sentiment analysis.
    - Developed a novel algorithm named HARN to challenge these limitations.
    - The algorithm successfully dealt with the challenge of comparison & Domain specific sentences.
    - Working knowledge of Sentiwordnet and Stanford parser.

    Other authors
    • Akhil Gangavarapu
    See publication

Courses

  • Analysis of Algorithms

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  • Applied Statistics

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  • Big data & Cloud Computing

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  • Data Mining

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  • Data Structures and Algorithms

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  • Design of Algorithms

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  • Fundamentals of Analytics

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  • Mini - MBA in Digital Marketing

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  • Object Oriented Programming

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  • Regression Analysis

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Projects

  • Digital Marketing Strategy for a start up Rev-up Wellness

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    Worked for an exciting start-up named Revupwellness

    Developed a Digital Marketing Strategy for the company to improve its brand awareness.

    Primarily worked on:
    Search Engine Optimisation (SEO)
    Social Media Marketing (SMM)
    Google Analytics

    Involved in developing dashboards and reports using Google Analytics

    Other creators
    See project
  • Predictive Analytics : An ensemble model to predict Archaeological sites.

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    Successfully implemented an ensemble model which contained logistic regression, neural networks, Quest, Cart and Discriminant algorithms on Mexico land sites data to predict an archaeological site.

    Handled all the stages of a typical data analytics project
    - Data collection, Data cleaning and maintenance.
    - Used IBM SPSS Statistics for descriptive analytics of the data.
    - Used frameworks scikit-learn & Pandas for initial data analysis
    - Developed an ensemble model (Neural…

    Successfully implemented an ensemble model which contained logistic regression, neural networks, Quest, Cart and Discriminant algorithms on Mexico land sites data to predict an archaeological site.

    Handled all the stages of a typical data analytics project
    - Data collection, Data cleaning and maintenance.
    - Used IBM SPSS Statistics for descriptive analytics of the data.
    - Used frameworks scikit-learn & Pandas for initial data analysis
    - Developed an ensemble model (Neural networks, Logistic regression, Quest, Cart and Discriminant algorithms) using IBM SPSS Modeler.
    - Used cross-validation and other sampling techniques for data division.

    Other creators
  • Sentiment Analysis using HARN algorithm

    -

    - Study of existing techniques and their limitations for sentiment analysis.
    - Developed a novel algorithm named HARN to challenge these limitations.
    - It is an unsupervised learning algorithm which uses basic structure of sentences, domain dictionaries and pre-defined polarities to classify a given sentence.
    - The algorithm successfully dealt with the challenge of comparison & Domain specific sentences.
    - Working knowledge of Sentiwordnet and Stanford parser.

    Other creators
    • Akhil Gangavarapu
  • Predictive Analytics: Predicting the optimum size of a class.

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    Implemented linear regression and k-means clustering algorithm on student’s marks list to predict ideal student size for a class to get the maximum out of the students.

    - Working knowledge of SQL.
    - Involved in the live extraction of project relevant data from the student’s database.
    - Generated insights on descriptive statistics using python, Excel.
    - Worked on scikit – learn for predictive analytics techniques Regression & Clustering

  • Internet Of Things Application

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    Developed a simple IOT application using Raspberry pi where status of the light (on/off) will decide the status of door (opened/closed)

    Other creators

Languages

  • English

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  • Telugu

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  • Hindi

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