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fannichsalma/README.md

🧑‍💻 Fannich Salma - Data Engineering & Software Enthusiast

👨‍🎓 Education

5th year of Data Engineering at ENSAH

  • Location: AL Hoceima, Morocco
  • Duration: 2020 - 2025

🔧 Services & Skills

Data Engineering

  • Building and optimizing data pipelines.
  • Designing, implementing, and maintaining databases (Oracle, MySQL, SQL Server).
  • Implementing big data solutions with Spark, Airflow, and Kafka.
  • Data integration and transformation using Dremio and other ETL tools.

Cloud Computing with GCP

  • Expertise in Google Cloud Platform (GCP) services and tools.
  • Data management and analysis using BigQuery.
  • Building data-driven dashboards and reports with Looker.
  • Integrating data workflows with GCP for scalable cloud solutions.
  • Optimizing cloud infrastructure for data storage and processing.

Machine Learning

  • Developing and deploying machine learning models.
  • Specializing in neural machine translation and other advanced ML models.
  • Data preprocessing and feature engineering.
  • Integrating ML models with cloud platforms like Google Cloud Console.

Web Development

  • Creating responsive and dynamic web applications using HTML5, CSS3, JavaScript, and PHP.
  • Developing user-friendly interfaces and UX elements.
  • Integrating backend databases with web applications.
  • Deploying and managing websites on cloud platforms.

📂 Portfolio

Amazon Personalized Recommendation System

  • Description: A live product recommender system using the Amazon dataset. Involves data processing with Apache Spark, MongoDB, and exploratory analysis. A recommendation model (ALS) is trained and integrated into a Flask web application, with real-time updates via Apache Kafka.
  • Demo: GitHub Repository

Movie Review Sentiment Analysis and Recommendation System

  • Description: A versatile system combining sentiment analysis and recommendation, with a user-friendly interface. Evaluates user comments on films, classifying them into categories such as positive, negative, or neutral.
  • Demo: LinkedIn Post

Patent Drone Website

  • Description: Automated data extraction from Google Patents using Selenium and stored it in MongoDB for efficient management. Analyzed data using Apache Spark and visualized trends with Power BI dashboards. Built a user-friendly website with HTML, CSS, JavaScript, and Flask.
  • Demo: LinkedIn Post

Exam Management System

  • Description: Developed an Exam Management System using Java EE to optimize exam administration. Features include scheduling exams, managing classroom reservations, and overseeing exam logistics.
  • Demo: GitHub Repository

🌐 Connect with Me

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Feel free to reach out if you have any questions or collaboration opportunities!

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