Masoumeh Dehghani, PhD
Data Science & Machine Learning Fellow at Springboard- Claim this Profile
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English Full professional proficiency
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French Professional working proficiency
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Persian Native or bilingual proficiency
Topline Score
Bio
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!
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!
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!
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!
Credentials
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Microsoft Certified: Azure Data Fundamentals
MicrosoftMar, 2023- Oct, 2024 -
Introduction to R
DataCampOct, 2022- Oct, 2024 -
Tableau essential training
LinkedInOct, 2022- Oct, 2024 -
Data Science Career Track
SpringboardSep, 2022- Oct, 2024 -
Power BI
LinkedInSep, 2022- Oct, 2024 -
Introduction to Natural Language Processing in Python
DataCampAug, 2022- Oct, 2024 -
Image processing in Python
DataCampJun, 2022- Oct, 2024 -
Deep Learning in Python
DataCampMay, 2022- Oct, 2024 -
Introduction to PySpark
DataCampMay, 2022- Oct, 2024 -
Machine learning for Time series data in Python
DataCampMay, 2022- Oct, 2024 -
Time series analysis in Python
DataCampApr, 2022- Oct, 2024 -
Feature Engineering for Machine Learning in Python
DataCampFeb, 2022- Oct, 2024 -
Unsupervised Learning in Python
DataCampFeb, 2022- Oct, 2024 -
Supervised Learning with scikit-learn
DataCampJan, 2022- Oct, 2024 -
Statistical Thinking in Python
DataCampDec, 2021- Oct, 2024 -
Cleaning Data in Python
DataCampNov, 2021- Oct, 2024 -
Data Manipulation with pandas
DataCampNov, 2021- Oct, 2024 -
Data Types for Data Science in Python
DataCampNov, 2021- Oct, 2024 -
Intermediate SQL
DataCampNov, 2021- Oct, 2024 -
Joining Data in SQL
DataCampNov, 2021- Oct, 2024 -
Python Data Science Toolbox
DataCampNov, 2021- Oct, 2024 -
Intermediate Python
DataCampOct, 2021- Oct, 2024 -
Introduction to Shell
DataCampOct, 2021- Oct, 2024 -
Machine Learning
Coursera Course CertificatesSep, 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
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Springboard
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United States
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E-Learning Providers
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700 & Above Employee
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Data Science & Machine Learning Fellow
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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
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Synex Medical
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Canada
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Biotechnology Research
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1 - 100 Employee
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NMR Scientist
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Jan 2022 - May 2022
- Image processing - Simulation, Signal processing and Data Analysis - Software Development - Image processing - Simulation, Signal processing and Data Analysis - Software Development
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Sunnybrook
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Canada
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Hospitals and Health Care
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700 & Above Employee
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Postdoctoral Fellowship in NEAR lab
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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
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McGill University
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Canada
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Higher Education
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700 & Above Employee
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Postdoctoral Researcher in NEAR lab
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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
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CHUV | Lausanne university hospital
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Switzerland
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Hospitals and Health Care
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700 & Above Employee
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Premier Research Assistant
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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
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CIBM Centre d'Imagerie Biomedicale
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Switzerland
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Research Services
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1 - 100 Employee
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Research Assistant
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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
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Education
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EPFL (École polytechnique fédérale de Lausanne)
PhD, Physics -
Springboard
Data Science