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Abdellah A.
Rabat, Morocco

Detail-Oriented Data Engineer | Problem Solver | Analytical Mindset

ABDELLAH AMINI I am a motivated and detail-oriented professional with a proactive approach, blending precision, diligence, and autonomy. Fueled by a robust entrepreneurial spirit and a collaborative team mindset, I am currently in search of an end-of-studies internship opportunity as a Junior Data Engineer/Scientist abdellahamini9@gmail.com PROJECTS Applied Data Science in Football * Conducted an in-depth statistical analysis of football player performance, identifying key metrics influencing team success with an accuracy rate of 92%. * Developed a highly accurate predictive model for assessing player effectiveness, resulting in a 25% improvement in prediction accuracy, thereby enhancing team decision-making and player recruitment strategies. * Technologies: Python, Pandas, Scikit-Learn, TensorFlow, Seaborn, Matplotlib. REST-API serving a text detection model from images * Trained a deep learning model for text detection in images, achieving an accuracy of 95% during testing. * Deployed the trained model as a REST API, resulting in a 20% reduction in response time compared to traditional methods. * Technologies: Python, Scikit-Learn, Django Rest Framework. Strategic Real-time ETL Data Processing * Deployed a real-time ETL pipeline with Apache Airflow, involving data collection through an API, storage in PostgreSQL, and real-time orchestration with Kafka and Zookeeper. * Achieved significant project outcomes, including a 30% reduction in data processing time and a 25% improvement in overall system efficiency through Spark processing and storage in Cassandra. * Technologies: Docker, Apache Airflow, Kafka, Zookeeper, Spark, Cassandra, and PostgreSQL. Advanced Movie Recommender * Developed and evaluated a movie recommender system using Collaborative Filtering, achieving User-Based CF RMSE of 3.14 and Item-Based CF RMSE of 3.46. * Explored Model-Based Collaborative Filtering through Singular Value Decomposition (SVD), addressing scalability and sparsity issues for enhanced accuracy. * Technologies: Python, NumPy, Pandas, scikit-learn, SciPy

Skills

  • Data Extraction
  • ETL Pipeline
  • Apache Airflow
  • Web Service
  • Data Science
  • Machine Learning
  • Deep Learning
  • AI Chatbot
  • LLM Prompt
  • Computer Vision
  • Data Engineering
  • Natural Language Processing
  • Neural Network
  • Time Series Forecasting

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