Kartik Rajput

Kartik Rajput

Herndon, Virginia, United States
1K followers 500+ connections

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About

Enthusiast Data Scientist with 3+ years of Professional Experience in ETL, SQL…

Activity

Experience

  • Amazon Web Services (AWS) Graphic

    Amazon Web Services (AWS)

    Herndon, Virginia, United States

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    Herndon, Virginia, United States

  • -

    Herndon, Virginia

  • -

    Greater New York City Area

  • -

    Mumbai Area, India

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    Pune Area, India

Education

  • Pace University Graphic

    Pace University

    -

  • -

    Activities and Societies: Cricket Team Captain.

    Led College Cricket Team in different tournaments.

  • -

Licenses & Certifications

Volunteer Experience

  • Volunteer Assistant

    Teals

    - 2 months

    Science and Technology

    Assisted with the running of NY CS Fair and guided children on different technologies.

Courses

  • Algorithms And Data Structures

    CS608

  • Big Data Analytics

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  • Big Data And Information System

    IS690Q

  • Concepts And Structures Of Internet Computing

    CS612

  • Data Warehousing, Mining and Visualization

    IS665

  • Introduction to Deep Learning

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  • Introduction to Parallel And Distributed Computing

    CS610

  • Principle of Programming Languages

    CS611

Projects

  • Predicting Arrest on committed crime (R)

    - Present

    • Exploratory analysis done and Identified key factors which play a role in determining the outcome of an arrests, i.e., crime type, date, time, location description.
    • We will utilize data mining technique (Logistic Regression or Naïve Bayes) to create predictive model with accuracy over 60% using R.

    See project

  • Word puzzle solver (Java)

    • Designed and implemented an algorithm for solving a word puzzle using different data structures such as LinkedLists, Trees, and Hash tables and calculated time complexity difference and measured accuracy between these data structures.
    • Implemented hashing techniques namely Linear Probing, Quadratic Probing, and Separate Chaining to store dictionary words.

    See project

  • Prediction of Vehicular Collision in NYC (Python, Time Series, Random Forest)

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    • Build a model to predict the number of collisions that would happen in the city on a specific day with the help of Machine Learning Techniques such as Random Forest & Statistical Methods such as ARIMA modeling

  • Twitter Sentiment Analysis (Text Mining in Python and R Studio)

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    • Extracting Tweets using Multiprocessing Method in Python with help of Twitter API & loading in MySQL database.
    • Using Text2Vec library, Text Analysis is perform which is helpful to visualize the Sentiments on Tweets.

  • Natural Language Processing using Yelp Customer Reviews

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    • Performed bag of words and Count Vectorization techniques for text analytics
    • Categorized customer reviews using Naïve Bayes obtaining 78% accuracy

  • Yelp Restaurant Photo Classification (Keras, Deep Learning, Python)

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    The goal of the Yelp restaurant photo classification challenge [ is to build a model that automatically tags restaurants with multiple labels using a dataset of user submitted photos. Currently, Yelp users manually select restaurant labels when they submit a review. Selecting the
    labels are optional, leaving some restaurants or only partially-categorized.

    See project

  • Exploratory Analysis On Indian Premier League

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    • Develop clear visualizations to convey about Teams of matches played, wins, 200+ scores and comparison and Statistics.
    • Visualization was done using packages (Matplotlib, seaborn and plotly).

    See project

  • Text-Generator-Using-TensorFlow

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    • Developed new and original set of text with help of text generator model, from the dataset.
    • Generator Model is created with the help of character-by-character using LSTM Recurrent Neural Networks (RNN).

    See project

Honors & Awards

  • INTERNATIONAL GRADUATE SCHOLARSHIP

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  • Best Performer honor

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    Received Best Performer award for outstanding performance at Team Level by contributing valuable script and resolving important data discrepancies issues.

Test Scores

  • GPA

    Score: 3.72

Languages

  • English

    Full professional proficiency

  • Hindi

    Full professional proficiency

  • Marathi

    Professional working proficiency

  • Gujarati

    Professional working proficiency

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