🎯 Data Scientist / AI Engineer with a background in Robotics Engineering & Product Management
🤖 Passionate about AI & ML: intensive training, Kaggle competitions, end-to-end projects, and continuous learning.

• 🧠 Developing Machine Learning, Deep Learning & NLP projects.
• 🔬 Applying data science to real-world problems, from predictive modeling to computer vision.
• ⚡ Exploring MLOps, cloud deployment, and model reproducibility.

• 🏠 House Price Prediction (Ames, Iowa) → Top 25% Kaggle Leaderboard (79 features, ensemble methods, stacking)
• 🚀 Falcon 9 Landing Success Prediction → API + web scraping, classification models (Logistic Regression, SVM, Decision Trees, KNN)

👉 Check out my pinned projects

AI & Data Science: ML, DL, NLP, LLMs, Feature engineering, Time series, CNN, RNN, Transformers
Languages & Frameworks: Python (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, SpaCy, Hugging Face, LangChain), SQL
Visualization: Matplotlib, Seaborn, Plotly, Dash, Folium
MLOps & Cloud: Git, Docker, CI/CD, ML pipelines, AWS (S3, EC2, SageMaker), GCP, Azure, Databricks, PySpark, Hadoop
Project Management: Jira, Confluence, Notion, Agile/Scrum