Masoumeh Dehghani, PhD

Data Science & Machine Learning Fellow at Springboard
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Contact Information
us****@****om
(386) 825-5501
Location
CA
Languages
  • English Full professional proficiency
  • French Professional working proficiency
  • Persian Native or bilingual proficiency

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Emily Jones

Masoumeh is kind and thoughtful in the way that she communicates with others. She is a diligent worker, and she's friendly and personable with her colleagues. I can't speak to her scientific or technical abilities, but I do know that I enjoyed working with her!

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Credentials

  • Microsoft Certified: Azure Data Fundamentals
    Microsoft
    Mar, 2023
    - Oct, 2024
  • Introduction to R
    DataCamp
    Oct, 2022
    - Oct, 2024
  • Tableau essential training
    LinkedIn
    Oct, 2022
    - Oct, 2024
  • Data Science Career Track
    Springboard
    Sep, 2022
    - Oct, 2024
  • Power BI
    LinkedIn
    Sep, 2022
    - Oct, 2024
  • Introduction to Natural Language Processing in Python
    DataCamp
    Aug, 2022
    - Oct, 2024
  • Image processing in Python
    DataCamp
    Jun, 2022
    - Oct, 2024
  • Deep Learning in Python
    DataCamp
    May, 2022
    - Oct, 2024
  • Introduction to PySpark
    DataCamp
    May, 2022
    - Oct, 2024
  • Machine learning for Time series data in Python
    DataCamp
    May, 2022
    - Oct, 2024
  • Time series analysis in Python
    DataCamp
    Apr, 2022
    - Oct, 2024
  • Feature Engineering for Machine Learning in Python
    DataCamp
    Feb, 2022
    - Oct, 2024
  • Unsupervised Learning in Python
    DataCamp
    Feb, 2022
    - Oct, 2024
  • Supervised Learning with scikit-learn
    DataCamp
    Jan, 2022
    - Oct, 2024
  • Statistical Thinking in Python
    DataCamp
    Dec, 2021
    - Oct, 2024
  • Cleaning Data in Python
    DataCamp
    Nov, 2021
    - Oct, 2024
  • Data Manipulation with pandas
    DataCamp
    Nov, 2021
    - Oct, 2024
  • Data Types for Data Science in Python
    DataCamp
    Nov, 2021
    - Oct, 2024
  • Intermediate SQL
    DataCamp
    Nov, 2021
    - Oct, 2024
  • Joining Data in SQL
    DataCamp
    Nov, 2021
    - Oct, 2024
  • Python Data Science Toolbox
    DataCamp
    Nov, 2021
    - Oct, 2024
  • Intermediate Python
    DataCamp
    Oct, 2021
    - Oct, 2024
  • Introduction to Shell
    DataCamp
    Oct, 2021
    - Oct, 2024
  • Machine Learning
    Coursera Course Certificates
    Sep, 2021
    - Oct, 2024
  • Energy management
    Abdus Salam International Centre for Theoretical Physics (ICTP)
    Oct, 2010
    - Oct, 2024
  • Knowledge management
    Abdus Salam International Centre for Theoretical Physics (ICTP)
    Sep, 2009
    - Oct, 2024

Experience

    • United States
    • E-Learning Providers
    • 700 & Above Employee
    • Data Science & Machine Learning Fellow
      • Nov 2021 - Present

      550+ hours of hands-on course material, with 1:1 industry expert mentor oversight, and completion of 2 in-depth capstone projects. Mastered skills in Python, SQL, data analysis, data visualization, hypothesis testing, and machine learning. - Deep learning model: Implementing convolutional neural network (CNN) and optimizing parameters to determine the severity of dementia from MRI brain image - Supervised Learning Models: Implementing Decision tree,Logistic regression, Random forest, and Gradient Boosting to detect the dementia in patients based on different features such as age, cognitive functionality of people, and brain volume size - Implementing Linear regression model and Forest regressor model to gain insight into the ski ticket price in Mountain's facilities and the sensitivity of changes to various resort parameters. - Implementing NLP: Sentiment analysis of review from Amazon and prediction of rate using supervised algorithms and CNN

    • Canada
    • Biotechnology Research
    • 1 - 100 Employee
    • NMR Scientist
      • Jan 2022 - May 2022

      - Image processing - Simulation, Signal processing and Data Analysis - Software Development - Image processing - Simulation, Signal processing and Data Analysis - Software Development

    • Canada
    • Hospitals and Health Care
    • 700 & Above Employee
    • Postdoctoral Fellowship in NEAR lab
      • Sep 2021 - Dec 2021

      - Development and optimization of c++ base codes (MRI pulse sequences) and analysis tools to support clinical and translational spectroscopy research on 3T and 7T Siemens scanners - Development of metabolic neuronal network model and simulation in Matlab to obtain in-depth insight into the molecular mechanisms in brain - Implementation of pre-processing pipelines including simulation, signal processing, and analysis - Contribute to FID-A, an openly available analysis tool package written in Matlab for MRS data analysis - Collaborate with scientists and clinicians on research projects, both locally and internationally

    • Canada
    • Higher Education
    • 700 & Above Employee
    • Postdoctoral Researcher in NEAR lab
      • May 2018 - Sep 2021

      - Development and optimization of c++ base codes (MRI pulse sequences) and analysis tools to support clinical and translational spectroscopy research on 3T and 7T Siemens scanners - Development of metabolic neuronal network model and simulation in Matlab to obtain in-depth insight into the molecular mechanisms in brain - Implementing pre-processing pipelines including simulation, signal processing, and analysis Image registration and tissue segmentation analyses of MRI data. - Contribute to FID-A, an openly available analysis tool package written in Matlab for MRS data analysis - Focus on magnetic resonance spectroscopy of the brain in a longitudinal research project to understand the brain function in Alzheimer disease - Assisting grad students in their master thesis - Preparing scientific reports, proposals for grant application, ethic applications - Collaborate with scientists and clinicians on research projects, both locally and internationally

    • Switzerland
    • Hospitals and Health Care
    • 700 & Above Employee
    • Premier Research Assistant
      • Jan 2017 - Apr 2018

      - Organize, collect and perform data analysis of magnetic spectroscopic data sets - Neurochemical profiling in the dorsolateral prefrontal cortex of human brain at 7T to measure accuracy, precision, and relaxation times of metabolites in brain - Studying brain function in mood disorder patents - Organize, collect and perform data analysis of magnetic spectroscopic data sets - Neurochemical profiling in the dorsolateral prefrontal cortex of human brain at 7T to measure accuracy, precision, and relaxation times of metabolites in brain - Studying brain function in mood disorder patents

    • Switzerland
    • Research Services
    • 1 - 100 Employee
    • Research Assistant
      • Dec 2011 - Dec 2016

      - Preparation of assignments, quizzes, final exam and occasional lecture material for Biomedical imaging and physic courses - Assisting students to do their assignment - Adviser for graduate students projects - Preparation of assignments, quizzes, final exam and occasional lecture material for Biomedical imaging and physic courses - Assisting students to do their assignment - Adviser for graduate students projects

Education

  • EPFL (École polytechnique fédérale de Lausanne)
    PhD, Physics
    2011 - 2016
  • Springboard
    Data Science
    2021 - 2022

Community

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