Python Developer

The candidate has a PhD in machine learning and an engineering degree in computer science. They have experience as a data scientist and Python devThe candidateoper, where they devThe candidateoped machine learning systems for time series data prediction and a user interface for non-programmers. They also worked as a machine learning engineer and Python devThe candidateoper, devThe candidateoping systems for emotion detection, text classification, data extraction, prediction of potential customers, OCR, keyword extraction, and sentiment analysis. They have proficiency in various programming languages, machine learning frameworks, data analysis tools, cloud platforms, and databases. They have published a paper on automatic recognition of diseases and damages on plant leaves. They are fluent in English, French, and Arabic. Their interests include football and travThe candidate.

December 2021 - Present: Data Scientist

• Developed an ML system for time series data prediction using Python, TensorFlow, and scikit-learn.
• Created a user interface system in Python for non-programmers to perform data science tasks.
• Utilized various tools and technologies such as Jupyter, MLflow, Anaconda, Git, Azure DevOps, CI/CD, Docker, and PyCharm.

May 2021 - November 2021: Machine Learning Engineer

• Developed an ML system for emotion detection from voices using Python, scikit-learn, AWS, and PostgreSQL.

May 2019 - February 2021: Machine Learning Engineer

• Developed an NLP system for text classification and data extraction from customer claims in social media using Python, deep learning (Keras, LSTM), and Flask.
• Created a system for data extraction from word documents using Python, Flask, Docker, and PyCharm.

February 2018 - May 2019: Machine Learning Engineer

• Developed an ML system for prediction of potential customers for an insurance company using Python and deep learning (TensorFlow).
• Created an OCR system for text extraction from invoices using Python, OpenCV, and Google OCR API.
• Developed an NLP system for keyword extraction and sentiment analysis from customer reviews using Python and spaCy.

Skills: Python, TensorFlow, scikit-learn, deep learning, NLP, Flask, Docker, Git, PostgreSQL, MySQL, SQL Server, AWS, GCP, pytest, CI/CD, JavaScript/React, HTML, Windows, Mac OS, Linux.

Publications: "Combination of Multiple Classifiers for Automatic Recognition of Diseases and Damages on Plant Leaves" (SIVP Journal, 2020).