Otmane Amel

Experience

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  Arab innovation Academy

  Jan 2019 - Jan 2019

  Alumni Arab innovation Academy
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  YASSIR

  Feb 2020 - Sept 2020

  Trainee data scientist

  Project title: Rider behavior Modeling to predict the next pickup time based on the expected weather conditions and his data history.During my internship, my mission was to analyze their customer behaviors and come up with a way of modeling them accurately. the following is a summary of my tasks: • Studying the business needs and put forward an effective method for the rider behavior prediction task.• Weather data collection.• Cleaning and processing trips history, the aim was to transform raw data into data sequence (trip requests sequence per user). • Performing general EDA. • Comparing two modeling approaches, (1) sequential using LSTM architecture, (2) non-sequential using gradient boosting trees ( Catboost, Xgboost, and Light GBM).The results that were obtained from the non-sequential approach showed that Catboost yields good results and came out ahead of the others. Technologies and algorithms used: Keras, Catboost, Pandas, Tableau, Matplotlib, Tensorboard, SHAP library. Show less

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  GOMYCODE

  Mar 2021 - Oct 2021

  Artificial intelligence instructor

  As a Data Science instructor, my role is to teach GoMycode students the basics of data exploration, AI/machine learning algorithms, and mastering python libraries such as pandas and matplotlib NumPy...etc.the overall chapter covered during this track are : • Introduction to AI and its application domains.• Introduction to python + ML and data analysis libraries. • Data processing.• Data visualization. • Supervised and unsupervised learning.

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  Samsung Innovation Campus

  Jul 2021 - Oct 2021

  Data science instructor

  Guiding students to get the necessary skills (from basics of Python programming, probability & statistics, data exploration analysis to advanced Deep learning/machine learning algorithms) to solve real-world problems using AI and data-driven solutions.

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  Faculté Polytechnique de Mons

  Jan 2022 - now

  Research Assistant

  - AI4Brain Project (July 2024 - Ongoing) * Alzheimer's diagnosis with Multimodal Deep Learning. * Challenges: preprocessing of MRI data given different brain atrophy (size) as well as integration of medical data (tabular modality) to model training in a multimodal way. * Partners: Ambroise Paré Hospital, Neuroscience Department UMONS.- Barisk Project (September - December 2023) * Medical complications analysis and prediction with Machine Learning. * Challenges: Insufficient data at disposal; the curse of dimensionality. * Partners: Johnson & Johnson, CHU Saint-Pierre Brussels. * Tech: Pycaret, Seaborn, Pandas, Streamlit, Docker, Heroku.- E-Origin Project (January 2022 - May 2023) * Customs fraud detection using innovative AI methods (multimodal fusion). * Challenges: Extensive data analysis; multimedia data processing; business comprehension; model deployment. * Partners: E-Origin, ULiège, Euroterminal. * Tech: Pytorch, Pandas, Flask API, Docker, wandb.- InfraSecure Project (October 2021 - June 2023) * Ensuring workers' safety on construction sites using camera monitors with AI (computer vision). * Challenges: Deployment challenge, frame processing optimization, combining multiple inputs (RGB- Depth modalities). * Partners: Infrabel. * Tech: Pytorch, PyQt5, ZED SDK, wandb.- Teaching Experience: * Preparing assignments and starter codes for multiple lab sessions. * Co-supervising master theses related to my projects. * Serving as a jury member for multiple master thesis defenses. Show less