🚀 Creative and results-driven Data Scientist & ML Engineer with expertise in machine learning and AI. Skilled in developing advanced predictive models, and deploying scalable AI solutions in cloud-based and on-prem environments. Passionate about applying PyTorch, scikit-learn, Tensorflow, R, SQL, and cloud platforms (AWS, Azure) to drive impactful data-driven decisions.

  My stack set (not limited to):

• ✅ Data Science, Analytics & ML: Python, TensorFlow, Scikit-learn
• ✅ AI: Langchain, Hugging Face, Transformers, Vector Databases
• ✅ Key Domains: Regression, Classification, Recommendationa nd personalization, LLM, RAG, Neural Networks, Ensemble Methods, Clustering, Explainability
• ✅ **Visualization and reporting:**Streamlit, Matplotlib, Plotly
• ✅ Data Engineering: dbt, SQL, PySpark, Databricks, Pollars, DuckDB
• ✅ MLOps: MLflow, Prefect, Docker, Airflow
• ✅ APIs: Flask, FastAPI
• ✅ Apps: Streamlit, Gradio
• ✅ Cloud Platforms: Azure (AZ-900), Azure DevOps, Databricks, AWS
• ✅ Version Control: Git, Github

📜 Certifications: AWS Machine Learning Associate | Azure-900 Certified 🎓 Education: PhD Candidate in Machine Learning & Data Science (Utrecht University)

📬 Let’s Connect – Always eager to explore new opportunities, share insights, and collaborate with like-minded professionals in the field of AI and Data Science.  

💰 You can explore my end-to-end projects in these repositories. If you find them helpful, don't forget to drop a ⭐! 😎