mhannani
Mohamed HANNANI
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Experienced data scientist with one and half year of expertise analyzing large data sets for early-stage technology companies. Skilled in team collaboration, Python, R, and statistical techniques and machine learning algorithms to extract valuable information from complex data.

Experience
Aug 2022 - Jul 2023
React Developer
Indatacore
Core business
  • Leader in digital industry based on artificial intelligence and Deep Machine Learning technologies.
Activities
  • Extracted relevant information from printed or scanned bills. Developed algorithms and implemented a system to automate extraction of details like purchased items, unit prices, due dates, and more. Streamlined bill analysis, enhancing efficiency and reducing manual effort in data entry and processing.
  • Worked on a project focused on extracting relevant information from printed or scanned bills. Developed algorithms and implemented a system to accurately extract details such as purchased items, unit prices, due dates, and other pertinent information. This project aimed to automate the data extraction process and streamline bill analysis, enhancing efficiency and reducing manual effort in data entry and processing.
  • Actively contributed to the development and improvement of data science practices, workflows, and best practices within the organization.
Software & Technical Skills
  • PyTorch and Torch lightning,
  • Dash for web interfaces,
  • Transformers and Vision Transformers,
  • Languages models & LLMs,
  • Pipeline automation using Python programming langauge,
  • Developping APIs using FastAPI for modular pipelines.
Skills : Data Pipelines · Extract, Transform, Load (ETL) · Decisioning · Dashboards · Microsoft Power BI · Gitlab · Web Scraping · Software Development · Programming · Git · Google Cloud Platform (GCP) · Databases · Chatbots · Jira · Streamlit · Dash by Plotly · MLOps · Handwriting Recognition · SQL · Machine Learning
Mar 2022 - Aug 2022
Intern React Developer
Indatacore
Core business
  • Leader in digital industry based on artificial intelligence and Deep Machine Learning technologies.
Activities
  • Developed and implemented an anti-spoofing model achieving an impressive accuracy of 97%. Integrated the model into a JavaScript application using TensorFlow.js, leveraging the power of deep learning for robust liveness detection.
  • Collaborated with software engineers to deploy machine learning models into production, contributing to the development of scalable data-driven solutions (SKyID product).
  • Designed and implemented data cleaning and preprocessing pipelines for internal signature collected data, ensuring data integrity and accuracy for analysis.
  • Developed and deployed a highly effective model for offline signature analysis, enabling the extraction of signature embeddings from image data. Implemented an automated system to train personalized SVM models for each user, ensuring accurate differentiation between their unique signature and others.
Software & Technical Skills
  • Tensorflow.js and models conversion,
  • Sickit-learn models training and automation of the processes,
  • Automating data extraction through pre-trained models on partial custom dataset,
  • Collboration with other teams for SKD development and integration.
Skills : Web Scraping · Software Development · Programming · Git · Google Cloud Platform (GCP) · Apache Spark · Tensorflow.js · CNN · OpenCV · Data Analysis · Python (Programming Language) · Machine Learning · Analytical Skills
Education
Oct 2019 - Jun 2022
Cadi Ayyad University
Marrakech

Master's data science at faculty of sciences essmlalia, Marrakech, Morocco

Oct 2019 - Jun 2022
Cadi Ayyad University
Marrakech

Bachelor's degree, Computer Science

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