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karimosman89/README.md

Typing SVG - Karim Osman
Typing SVG - Positions
GitHub Stats

👋 Welcome to My GitHub Profile!

As a Machine Learning Engineer, Data Engineer, and AI Enthusiast, I specialize in creating innovative solutions that harness the power of data and AI technologies.

  • 🔍 Currently focused on: Developing state-of-the-art deep learning models for Natural Language Processing and Computer Vision applications.
  • 📖 Engaging with: Advanced topics such as Reinforcement Learning and the latest advancements in AI technologies.
  • 🤝 Open to: Partnerships on projects that intersect Machine Learning, AI, and Data Engineering.

🛠️ Core Skills and Technologies

Programming Languages

Python R Java C++ C# Groovy SQL JavaScript PHP Bash Go

Machine Learning & Data Science Frameworks

  • Machine Learning: Scikit-learn, XGBoost, LightGBM, CatBoost
  • Deep Learning: TensorFlow, Keras, PyTorch, MXNet, Caffe
  • Data Science: Pandas, NumPy, SciPy, Statsmodels
  • Data Visualization: Tableau, Matplotlib, Seaborn, Plotly, Bokeh

Deep Learning Models

  • NLP: BERT, GPT-3, LSTM, RNN, CNN
  • Computer Vision: U-Net, ResNet, VGG16, EfficientNet, YOLO
  • Generative Models: GANs, VAEs

Big Data & Cloud Technologies

  • Big Data Tools: Hadoop, Apache Spark, Dask, Hive, Flink, Apache Kafka
  • Cloud Platforms: AWS (SageMaker), Google Cloud AI Platform, Microsoft Azure ML
  • MLOps & Deployment: Docker, Kubernetes, CI/CD (Jenkins, GitLab CI/CD, CircleCI, Travis CI), MLflow, Airflow, Kubeflow
  • Databases: PostgreSQL, MySQL, MongoDB, Redis, Cassandra
  • Data Warehousing: Amazon Redshift, Google BigQuery, Snowflake
  • ETL Tools: Apache Airflow, Talend, Apache NiFi

🏆 Notable Projects

Title Description
NLP with Transformers Developed advanced text classification models utilizing BERT for sentiment analysis and topic classification.
Time Series Forecasting Designed robust forecasting models employing LSTM, ARIMA, and Prophet to predict stock prices.
End-to-End ML Pipeline on AWS Engineered a scalable ML pipeline for customer churn prediction utilizing AWS services and CI/CD methodologies.
Real-Time Data Pipeline Architected a high-performance ETL pipeline for processing streaming log data using Apache Kafka and Spark.
📈 My GitHub Stats


🌍 Let's Connect

I am eager to engage in meaningful conversations about innovative projects, ideas, and opportunities. Feel free to connect with me through the following platforms:

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🌟 Fun Fact

I love exploring the intersection of technology and art. When I'm not coding, you might find me experimenting with creative projects or participating in hackathons! 🚀

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  1. Time-Series-Forecasting Time-Series-Forecasting Public

    A collection of Jupyter Notebooks covering data wrangling, visualization, and machine learning algorithms.

    Jupyter Notebook 1

  2. X_Ray_Project X_Ray_Project Public

    A collection of Jupyter Notebooks covering data wrangling, visualization, and machine learning algorithms.

    Jupyter Notebook 1

  3. AI-Project AI-Project Public

    This project, you will build a full AI pipeline for an image classification task using Convolutional Neural Networks (CNNs). The project will cover data ingestion, preprocessing, model training, de…

    Python 2

  4. ab-testing ab-testing Public

    Analyzes the results of A/B tests to determine if there is a statistically significant difference between control and treatment groups. It provides a structured approach for performing A/B tests, …

    Python 1

  5. Data-Pipeline Data-Pipeline Public

    This project implements a scalable ETL pipeline that processes streaming data from Kafka and performs analytics using Spark.

    Python 1

  6. reinforcement-learning reinforcement-learning Public

    Create an agent that learns to play a game (e.g., Atari, chess) using reinforcement learning algorithms like Deep Q-Networks (DQN) or Proximal Policy Optimization (PPO).

    Python 1