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Praveen Ramani
  • Working at University of Texas at Dallas
  • Studied at University of Texas at Dallas
  • Living in United States
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About

Actively seeking a job in the field of computer science.
I graduated in May 2020 with MS in Computer Science from the University of Texas at Dallas.

  • Experience

    Software Developer Intern – University of Texas at Dallas
    ◦ Currently working in the Big Data Analytics and Management Lab at UTD.
    ◦ Performed data transformation by cleaning and processing annotated data.
    ◦ Used machine learning and deep learning for text extraction .e.g: BERT for ‘question-answering’

    I also have experience in
    HADOOP, SPARK -- Deriving statistics form large datasets. Performed joins (in-memory, reduce side), job chaining. Used spark dataframes, spark sql.

    CLASSIFICATION OF NEWS USING APACHE KAFKA STREAMING-- Designed an application which used machine learning to predict the category of news streamed from a news website. A pipeline model was built to process the data. (Tokenizer, stopwords remover, count vectorizer, <ML function>) Technologies Used: Kafka streaming (kafka-producer, consumer, directstream), Pipeline model, ML techniques.

    R STUDIO -- Analyzed transaction data of Ethereum blockchain (BAT token) to derive some statistics (frequency of transactions, tracking major players in other tokens etc.,) and fit probability distributions on the statistics.

    MACHINE LEARNING -- Implemented decision tree, Naive Bayes, Logistic Regression, K means clustering from scratch (no libraries).

    DEEP LEARNING -- Implement DNN for handwriting recognition, CNN for Facial Expression Recognition and BERT for text extraction.

    ANDROID STUDIO -- Developed a schedule tracker for Remote care (Health care application).

    Co-curricular Activities:
    Learnt Aws basics in Aws workshop
    Learnt 'AI in Azure' basics in Azure workshop
    Doing a course on Deep Learning using pytorch on Udacity

    Other Passions:
    I love science in general, math and computer science in particular, and I am a big fan of educational youtube channels like numberphile, computerphile, 3blue1brown etc.,
  • Projects

    Online Movie Store:
    Implemented an online movie store with all the standard functionalities like login, sign up, search & filter, admin access to insert, edit & modify the contents of the store, shopping cart, checkout etc., from scratch (no software tools).
    Technologies used: JQuery, Javascript, PHP, HTML, CSS, SQL, MAMP server.

    Image Compression using K-means clustering
    Implemented the K-Means clustering algorithm from scratch (no libraries) in order to perform image compression.
    Technologies used: Python, Spyder IDE.

    Decision Tree Classifier:
    Constructed a Decision Tree from scratch (no libraries) and tested the accuracy of the predictions.
    Technologies used: Python, Spyder IDE.
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Praveen Ramani created a new article
3 months ago - Translate

SCHEDULE TRACKER FOR REMOTE CARE | #android #aws #health Care #cloud

SCHEDULE TRACKER FOR REMOTE CARE

SCHEDULE TRACKER FOR REMOTE CARE

This project, which is based on the concept of remote care, makes providing health care to people a lot easier. This project aims to track the dynamic progress of the schedule of a person so that the caregiver can instantly react in case of emergencies or deviation from the normal schedule
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