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ayoub-anhal/README.md

Ayoub Anhal

Big Data & AI Engineer | Data Science Enthusiast

Morocco Palestine

LinkedIn YouTube Twitter Email Telegram


About Me

Technology engineer passionate about Big Data, Artificial Intelligence, and Data Science. Driven by an insatiable curiosity for emerging technologies and a commitment to pushing the boundaries of data analysis and AI innovation.

Current Focus: Advanced Java for data analysis, cutting-edge big data tools, deep learning algorithms, and distributed systems architecture.


Technical Stack

Programming Languages & Frameworks

Python Java Scala JavaScript TypeScript R Spring Boot Flask FastAPI

Machine Learning & Deep Learning

TensorFlow PyTorch Keras Scikit-learn XGBoost Pandas NumPy OpenCV Matplotlib Seaborn

Big Data Ecosystem

Apache Spark Apache Kafka Apache Hadoop Apache Airflow Apache Hive Apache Flink Databricks PySpark

Cloud Platforms & DevOps

Docker Kubernetes AWS Azure GCP Jenkins GitLab CI Terraform

Databases & Data Warehousing

PostgreSQL MongoDB MySQL Redis Cassandra Oracle SQLite Elasticsearch Snowflake

Data Visualization & BI Tools

Tableau Power BI Grafana Plotly Apache Superset

MLOps & Model Deployment

MLflow Kubeflow TensorFlow Serving DVC Weights & Biases

Development Tools & Version Control

Git GitHub GitLab VS Code PyCharm Jupyter IntelliJ IDEA


GitHub Analytics


Current Learning Path

Advanced Topics:
  - Advanced Java for Data Analysis
  - Cloud Computing & Distributed Systems
  - Deep Learning & Neural Networks Architecture
  - MLOps & Model Deployment Strategies
  - Real-time Stream Processing with Kafka & Flink
  - Data Lake & Data Warehouse Architecture
  
Technical Interests:
  - Big Data Architecture & Design Patterns
  - AI/ML Research & Development
  - Data Engineering Pipelines
  - Real-time Analytics & Processing
  - Scalable Machine Learning Systems
  - Data Governance & Quality Management

Professional Experience Highlights

Big Data Engineering

  • Distributed systems design and implementation
  • Real-time data processing pipelines
  • ETL/ELT workflow optimization
  • Data lake and warehouse architecture

Artificial Intelligence

  • Machine learning model development and deployment
  • Deep learning for computer vision and NLP
  • MLOps best practices and automation
  • Model performance optimization

Data Science

  • Exploratory data analysis and visualization
  • Statistical modeling and hypothesis testing
  • Predictive analytics and forecasting
  • Business intelligence and reporting

Get In Touch

Let's connect and collaborate on innovative data science and AI projects

LinkedIn YouTube Twitter Telegram

Email: ayoubanhal01@gmail.com

Profile Views

Built with passion for Big Data and AI | Last Updated: December 2024

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