Valentina D'souza

Valentina D'souza

Biomedical Intern

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location of Valentina D'souzaBoston, Massachusetts, United States

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  • Timeline

  • About me

    Machine Learning Engineer @Broad Institute of MIT and Harvard | MSE BME @The Johns Hopkins University

  • Education

    • Vidyavardhini's Junior College

      2015 - 2017
      HSC 90.91%
    • Holy Cross Convent School

      2004 - 2015
      SSC 95.60%

      Activities and Societies: Elocution, interschool drawing competitions

    • The Johns Hopkins University

      2021 - 2023
      MSE Biomedical Engineering (Data Science focus area)
    • Thadomal Shahani Engineering College

      2017 - 2021
      Bachelor of Engineering - BE Biomedical Engineering 9.8
  • Experience

    • Saifee Hospital

      Jun 2019 - Jun 2019
      Biomedical Intern
    • Siemens Healthineers

      Dec 2019 - Dec 2019
      Customer-Service Department Intern
    • Xeuron

      Jan 2020 - Feb 2020
      Technical Executive
    • Laboratory of Computational Intensive Care Medicine

      Oct 2021 - May 2023
      Graduate Student Researcher

      - Leading a research initiative aimed at preprocessing and extracting meaningful features from physiologic time series Intracranial pressure waveforms from the brain recorded at frequencies higher than 125 Hz- Identified distinct groups (phenotypes) in brain- injury patients utilizing clustering techniques to predict outcomes in unique groups

    • The Johns Hopkins University

      Jun 2022 - Dec 2022

      Mentoring students in Gateway Computing: Python programming course. Responsible for grading assignments, debugging assignment submissions, and providing assistance during live lectures and guiding students one-on-one during office hours. Assisting students enrolled in Pre- college Summer School for Neurobiology Cellular and Systems course

      • Graduate Teaching Assistant

        Jan 2022 - Dec 2022
      • Teaching Assistant

        Jun 2022 - Jul 2022
    • Kennedy Krieger Institute

      Jun 2022 - May 2023
      Graduate Student Research Assistant

      - Constructed a workflow for pre-processing high dimensional CEST data and generated training data by Lorentzian lineshape-based fitting approaches- Developed an ML model for speeding the parameter quantification process of CEST (chemical exchange saturation transfer) MRI images by a time factor of 85% compared to traditional methods- Incorporated the physics through differential equations in an ML model that helped quantify the parameters with less training data

    • Broad Institute of MIT and Harvard

      Jun 2023 - now
      • Machine Learning Engineer II

        Jan 2025 - now
      • Machine Learning Engineer I

        Jun 2023 - Jan 2025
  • Licenses & Certifications

    • Build a Data Science Web App with Streamlit and Python

      Coursera
      May 2020
      View certificate certificate
    • Exploratory Data Analysis

      Coursera
      May 2020
      View certificate certificate
    • The Data Scientist’s Toolbox

      Coursera
      Apr 2020
      View certificate certificate
    • Cisco NetAcad -ISTE National level CODATHON- 2020

      Cisco Networking Academy
      Apr 2020
    • Reproducible Research

      Coursera
      Jun 2020
      View certificate certificate
    • Data structures and algorithms

      Board Infinity
      Apr 2020
    • R Programming

      Coursera
      Apr 2020
      View certificate certificate
    • Foundations of mining non-structured medical data

      Coursera
      Apr 2020
      View certificate certificate
    • Internet of Things and Machine Learning

      Bolt IoT
      Apr 2020
    • Introduction to Python

      DataCamp
      May 2020
  • Honors & Awards

    • Awarded to Valentina D'souza
      Department Ambassador Thadomal Shahani Engineering College Apr 2021