I'm passionate about Machine Learning, Data Science, MLOps, Langchain,LLMs and Statistics. I thrive on turning data into insights and deploying intelligent solutions.

• 💻 Building machine learning models that solve real-world problems.
• 📊 Analyzing and visualizing data to uncover hidden trends.
• 📦 Creating reproducible data pipelines with MLOps.
• 📈 Utilizing statistics to make data-driven decisions.

• Python | R | SQL | Java | Flask | FastAPI
• Libraries: TensorFlow, Scikit-Learn, Pandas, NumPy, Matplotlib, seaborn, Spacy, Keras, pytorch, Tensorflow Extended (TFX)
• Data Analysis | Data Visualization
• Tools: Power Bl, Git, Docker, DVC, Github Actions, Weight and Biases, FastAPI, Apache Airflow, Apache Spark, Google Cloud (Vertex Ai, BigQuerry, compose, AutoML )
• Concepts: MLOps, Data Structures and Algorithms, Object Oriented Programming , Generative AI, Continious Intigration and continious Deployment, Statistics, Machine Learning Operations for Productions
• Explainable AI: (SHAP, LIME)

Let's connect and collaborate! You can find me on:

• LinkedIn 💼

Feel free to explore my repositories and reach out for interesting projects and discussions. I'm always excited to learn and share knowledge.

Happy coding! 👨‍💻