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Supreetha Yenigabal
  • Working at HP Inc
  • Studying at Rochester Institute of Technolog
  • Living in United States
  • Website https://www.linkedin.com/in/supreethayenigabal/
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About

Firmware Intern at HP Inc. I am actively looking for full-time opportunities starting from January 2021. I am currently pursuing a Master's in Computer Science at Rochester Institute of Technology. I am keen on working in the field of Big Data, Artificial Intelligence, and Full Stack development.

  • Experience

    Firmware Intern - HP Inc, United States

    Using channel utilization feature, implement a technique that will select a quiet channel for Wi-Fi Direct and move the printer to an appropriate channel instead of a default channel (which can busiest)
    Data analysis on Wi-Fi telemetry data to predict the benefits of the above-mentioned functionality
    Calculate the Wi-Fi availability metric for standalone network connectivity.

    Data Analyst Intern - HP Singapore Private Limited, Singapore

    Built a User Interface (Image Annotation tool) to automate the inspection of product quality using PyQt and OpenCV in python
    Captures images from a camera input in different modes, allows users to annotate and label images
    Data collected with the software is used for training and testing of a deep learning model

    Research Intern - Indian Institute of Science, India

    Developed a simulation of an autonomous self-driving car using Long-term Recurrent Convolutional
    Networks (LRCN) using Keras
    The model outputs the steering angle and throttle values based on the camera images it was trained on
  • Projects

    Understanding the Dynamics of Group Formation

    Collected data for annotating synchrony between pairs of people in the ``Sayette Group Formation Task'' (GFT) dataset, performed feature extraction and data cleaning on the GFT data
    Applied Random forest regression and Gaussian process regression techniques to predict synchrony between people and applied cross-validation technique to test the efficiency of the different regression algorithms on the data
    Applied visualization techniques such as t-SNE and PCA on the data

    Develop and Host a Web Service

    Developed and hosted a web service that provides two operations: a client application that invokes the operation, and a coordination handler from the service side that enforces the correct order of invocation
    The web service has a back-end database and one of the operations allow users to query the database

    Finding the best route using GIS data

    Developed a cost function and analyzed the best route from a set of GPS data of multiple routes between two locations
    Parsed the data of the best route into KML to enable it to be rendered on google maps
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Supreetha Yenigabal created a new article
9 months ago - Translate

Understanding the Dynamics of Group Formation | #machine Learning

Understanding the Dynamics of Group Formation

Understanding the Dynamics of Group Formation

Interactional synchrony can be viewed as the coordination between two or more people when they communicate with each other. The interactional synchrony directly depends on the understanding between the people. Today, analysis of group communication and behavior is an ongoing research topic
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