Marah Mohammad

Marah Mohammad Email and Phone Number

Data Scientist @ Schneider Electric
Grenoble, FR
Marah Mohammad's Location
Grenoble, Auvergne-Rhône-Alpes, France, France
About Marah Mohammad

I am a machine learning engineer. I have a double degree in data science and artificial intelligence.Thanks to my educational background, I have a solid foundation in Mathematics (Linear Algebra, Probability, Statistics), Machine Learning (Neural networks, optimization methods), and Deep Learning (Deep neural networks, CNNs, RNNs, LSTMs, Transformers, Generative models). Moreover, far from mastering this knowledge theoretically, I applied my skills in different fields: Explainable AI, Computer Vision, Healthcare sector (time-series data).Feel free to reach out to me via LinkedIn or email: marahalimohammad@gmail.com

Marah Mohammad's Current Company Details
Schneider Electric

Schneider Electric

View
Data Scientist
Grenoble, FR
Employees:
86059
Marah Mohammad Work Experience Details
  • Schneider Electric
    Data Scientist
    Schneider Electric
    Grenoble, Fr
  • Schneider Electric
    Data Scientist/ Analyst
    Schneider Electric Sep 2023 - Sep 2024
    Grenoble, Auvergne-Rhône-Alpes, France
    - Working in the Data & Analytics team in the Global Supply Chain GSC Europe digital and performance Group.- Digital transformation of Schneider’s factories and distribution centers. - Process automation through a data-driven approach. - Exploratory data analysis, building machine learning models, deploying models through an API.- My work includes data engineering, data analysis using statistics/machine learning, building and deploying ML models (classification, regression, time-series forecasting), API development, and monitoring of the deployed models.
  • Sensoria Analytics
    Machine Learning Engineer
    Sensoria Analytics Nov 2022 - Sep 2023
    Valbonne, Provence-Alpes-Côte D'Azur, France
    - Predicting vital signs from PPG signals using machine learning and deep learning models, and integrating the models into an application and an oximeter. - Reading and implementing research papers.- Analyzing, preprocessing, and visualizing data using MATLAB.- Building deep learning models using PyTorch or TensorFlow for time-series classification and regression.
  • Lig - Grenoble Informatics Laboratory
    Data Scientist | Master 2 Research Internship
    Lig - Grenoble Informatics Laboratory Feb 2022 - Sep 2022
    Grenoble, Auvergne-Rhône-Alpes, France
    I was working on Explainable AI with the MRIM team. The topic was about improving the LIME algorithm used in explaining the decisions of convolutional neural networks CNNs. The main idea was to solve the problem of out-of-distribution images used in LIME and generate more representative samples.
  • Itmo University
    Intern
    Itmo University Jan 2021 - May 2021
    St Petersburg, St Petersburg City, Russia
    The project was about controlling a robotic arm using computer vision. Acquired skills: Robot Operating System ROS, Python, and OpenCV.

Marah Mohammad Education Details

Frequently Asked Questions about Marah Mohammad

What company does Marah Mohammad work for?

Marah Mohammad works for Schneider Electric

What is Marah Mohammad's role at the current company?

Marah Mohammad's current role is Data Scientist.

What schools did Marah Mohammad attend?

Marah Mohammad attended Dsti - School Of Engineering, National School Of Computer Science And Applied Mathematics Of Grenoble, Itmo University, Tishreen University.

Who are Marah Mohammad's colleagues?

Marah Mohammad's colleagues are Pierre Dubar, Lyli Khamdani, Selasteena Rani, Turgay Özen, Karthikeyan V, Heba Ali, Henry Mewes.

Not the Marah Mohammad you were looking for?

Free Chrome Extension

Find emails, phones & company data instantly

Find verified emails from LinkedIn profiles
Get direct phone numbers & mobile contacts
Access company data & employee information
Works directly on LinkedIn - no copy/paste needed
Get Chrome Extension - Free

Aero Online

Your AI prospecting assistant

Download 750 million emails and 100 million phone numbers

Access emails and phone numbers of over 750 million business users. Instantly download verified profiles using 20+ filters, including location, job title, company, function, and industry.