Gousia Sultana Syeda

Data Structures and Algorithms interviewer at {S30}
  • Claim this Profile
Contact Information
us****@****om
(386) 825-5501
Location
San Jose, California, United States, US

Topline Score

Topline score feature will be out soon.

Bio

Generated by
Topline AI

You need to have a working account to view this content.
You need to have a working account to view this content.

Experience

    • United States
    • E-Learning Providers
    • 1 - 100 Employee
    • Data Structures and Algorithms interviewer
      • Mar 2023 - Present

    • United States
    • Utilities
    • 700 & Above Employee
    • Application Engineer
      • Aug 2021 - May 2022

      • Built and maintained a dashboard to monitor the status of active wildfire incidents and provide early notifications to internal lines of business • Developed scripts to automate alerts and alarms. Created interactive dashboard for use by the operators • Provided visualization of wildfire incidents by utilizing situational awareness tools, camera networks, weather stations data • Trained and supported new users to software and other tools • Built and maintained a dashboard to monitor the status of active wildfire incidents and provide early notifications to internal lines of business • Developed scripts to automate alerts and alarms. Created interactive dashboard for use by the operators • Provided visualization of wildfire incidents by utilizing situational awareness tools, camera networks, weather stations data • Trained and supported new users to software and other tools

    • United States
    • Research Services
    • 1 - 100 Employee
    • Graduate Research Assistant
      • Dec 2019 - Sep 2020

      • Implemented machine learning algorithms to characterize medical images for radiotherapy treatment based on patient attributes • Developed 3D convolutional neural network (CNN) classification models to identify images with abdominal arterial stents on CT, and the presence of IV contrast agent in brain MRI and chest CT • Performed data preprocessing (converting DICOM to nifty, intensity normalization, resampling, cropping) on the images obtained from TCIA with the simple ITK tools • Implemented machine learning algorithms to characterize medical images for radiotherapy treatment based on patient attributes • Developed 3D convolutional neural network (CNN) classification models to identify images with abdominal arterial stents on CT, and the presence of IV contrast agent in brain MRI and chest CT • Performed data preprocessing (converting DICOM to nifty, intensity normalization, resampling, cropping) on the images obtained from TCIA with the simple ITK tools

Education

  • Santa Clara University
    Master of Science - MS, Computer Science Engineering
    2019 - 2021
  • JNTUK
    Bachelor of Technology - BTech, Computer Science and Engineering

Community

You need to have a working account to view this content. Click here to join now