Dallas, Texas, United States
6K followers 500+ connections

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Experience & Education

  • SAP Concur

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Licenses & Certifications

Courses

  • ARTIFICIAL NEURAL COMPUTATION

    EEE 511

  • DATA MINING

    CSE 572

  • DATA STRUCTURES AND ALGORITHMS

    CSE 102

  • DATA VISUALIZATION

    CSE 578

  • DISTRIBUTED DATABASE SYSTEMS

    CSE 512

  • FOUNDATIONS OF ALGORITHMS

    CSE 551

  • Information Assurance and Security

    CSE 543

  • MOBILE COMPUTING

    CSE 535

  • PYHTON FOR ENGINEERS SOLUTIONS

    EEE 591

  • STATISTICAL MACHINE LEARNING

    CSE 575

Projects

  • Budget Controller

    -

    A Web app that tracks our monthly expenses, incomes and budget. Implemented JavaScript concepts like creations of objects using function constructor, inheritance using Prototyping, implemented closures and IIFE.
    Key Technologies: JavaScript, HTML, CSS

  • Interactive Data Visualization for WebMD

    -

    • Developed a full stack web application that would give a normal user or doctors a clear understanding of various diseases, their symptoms, case count of disease across nation and inter connection between various diseases through various interactive visualizations.
    Key Technologies: HTML, CSS, JavaScript, AngularJS, D3.js, Python

  • Large Scale Analysis of Geospatial Operations on Distributed Data Platform

    -

    • Created multiple AWS EC2 instances and granted access to the remaining members of clusters using password less SSH.
    • Simulated Range Partition and Round-Robin partition in Python on top of an open source relational DBMS(PostgreSQL).
    • Computed Getic-Ord statistics of New York Taxi trip data loaded on HDFS to identify statistically significant spatial hotspots using
    Apache Spark and Scala.

  • Analyze a genre and book from Amazon book review dataset

    -

    • Displayed interactive visualization based on readers ratings and feedback to help customer assess books under each genre.
    • Displayed abstract rating of each book with a word cloud of highly used word in the feedback and top-rated feedback.
    Key Technologies: HTML, CSS, JavaScript, jQuery, D3.js, MYSQL, Spring

  • Mine and rock prediction

    -

    Developed a Linear regression model for detecting the mines on the sonar data which was reduced into orthogonal set using PCA analysis.
    • Implemented various machine learning algorithms like Perceptron, Linear Regression, Decision Tree Classifier, K-neighbors, SVM and Random forest model on the reduced data to detect the mines.
    • Obtained 92% accuracy in predicting the accurate obstacle using Linear regression algorithm.

  • Patient’s Heart disease prediction

    -

    • Devised and built an Intelligent Random Forest model to accurately detect the heart disease of patient by using prediction algorithm like Perceptron, Linear Regression, Decision tree classifier and random forest algorithm on the data collected from ACME medical enterprises.
    • Obtained 95% accuracy in predicting the heart disease using Random Forest.

Languages

  • English

    Native or bilingual proficiency

  • Telugu

    Native or bilingual proficiency

  • Hindi

    Native or bilingual proficiency

  • French

    Elementary proficiency

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