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And don't forget to read my profile while listening to this beautiful Spanish AI Song 🎶 🎷 🎶
👉 CONTACT ME! 👉 Use this form or reach out on LinkedIn! 🚀
Innovative and dynamic Data Scientist with a proven track record in leveraging AI and Machine/Deep Learning techniques to develop impactful data-driven solutions. Incorporating a robust skill set encompassing:
- ✅ Data Visualization/Analytics: Power BI, Looker, Tableau, Matplotlib, Seaborn, Plotly, Streamlit, Gradio
- ✅ Web Scraping: BeautifulSoup, Scrapy, Selenium
- ✅ Maths and Statistics: Statsmodels, SciPy
- ✅ Data Science & ML: Python, TensorFlow, PyTorch, Scikit-learn, OpenCV, NLTK, SpaCy
- ✅ AI: Langchain, LlamaIndex, OpenAI, Hugging Face, Transformers, Ollama, Llamafile, CrewAI, Pinecone, Qdrant, Chroma, Faiss, Ragas
- ✅ Domains: Regression, Classification, NLP, LLM, RAG, Computer Vision, Time Series, Neural Networks, Ensemble Methods, PCA, Clustering, Dimensionality Reduction, Anomaly Detection
- ✅ Data Engineering: dbt, Terraform, SQL, PySpark
- ✅ MLOps: MLflow, Prefect, Mage, Comet
- ✅ APIs: Flask, FastAPI
- ✅ Cloud Platforms: GCP, AWS, Azure
Currently working as an Independent Consultant, Teacher, and Course Developer for Data Analytics/Science ML and AI, and open for further cooperation opportunities!
If you want me to develop a project for you feel free to contact me! I always keep developing personal projects and I'm happy to implement new ideas 😃.
💰 My personal end-to-end projects can be found in these repositories (feel free to click ⭐ if you like them 😎):
| Project Name | Main Libraries/Tools | Cloud Service | App |
|---|---|---|---|
| ML/MLOps | |||
| Medical Insurance Costs Prediction | Scikit-learn, TensorFlow, Comet ML, Flask, CI/CD | AWS | |
| Stroke Prediction | Scikit-learn, XGBoost, Comet ML, Flask, Docker | AWS | |
| Car Price Prediction | Scikit-learn, TensorFlow, MLFlow, Prefect, Flask, Docker, Grafana, Terraform, CI/CD | AWS | |
| Taxi Rides Prediction | Scikit-learn, TensorFlow, MLFlow, Prefect, FastAPI, Docker | GCP | |
| Music Clustering | Scikit-learn, FastAPI, Docker, CI/CD | AWS | Streamlit |
| Birds Classification | Pytorch | Gradio | |
| Food Prediction | Scikit-learn, TensorFlow, OpenCV, FastAPI, Docker | GCP | Streamlit |
| Data Analysis + Modeling | |||
| Cryptocurrencies Analysis | ARIMA, XGBoost, TensorFlow LSTM, Prophet | ||
| News Classification | Scikit-learn (Multinomial Naive Bayes), Tensorflow (CNN, RNN, feedforward) | Streamlit | |
| Breast Cancer Classification | Scikit-learn, Spark | IBM | |
| Bank Churn Classification | Scikit-learn, LightGBM, XGBoost, CatBoost | ||
| LLM, RAG and Fine-tuning | |||
| RAG AWS LangChain Qdrant | OpenAI, LangChain, Qdrant, Docker | AWS | Streamlit |
| Q&A and Summarization | Hugging Face Transformers, Whisper, Langchain, ChromaDB | Streamlit | |
| RAG Llama Index | OpenAI, LlamaIndex, Deep Lake | ||
| RAG LangChain Ragas | OpenAI, Hugging Face Transformers, LangChain, Ragas | ||
| Agentic RAG LangChain Pinecone | OpenAI, Groq, LangChain, Pinecone | ||
| CrewAI RAG LangChain Qdrant | OpenAI, LangChain, Qdrant, CrewAI Agents | ||
| Fine Tuning Gemma 2B | Hugging Face Transformers, PEFT, (LoRA/QLoRA) | Hugging Face | |
| Data Engineering | |||
| Hotel Reviews | Prefect, Spark, SQL, dbt, Terraform, Looker, CI/CD | GCP | |
| Air Quality Switzerland | Mage, dbt, Terraform, Looker, CI/CD | GCP |
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💸 Additionally, you can find my Power BI projects:
- Personal Finance: Analysis and Comparison of Income, Bills, Profits and Available Money
- Product Sales Comparison: Product Sales Comparison using DAX functions
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Last but not least, I also have a Tableau portfolio using groups, sets, blends, joins, table calculations, storylines, parameters, animations, and other advanced functions
| Cloud Storage | BigQuery | Cloud Run | VM | Vertex AI | Dataproc | Earth Engine | Container Registry |
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| SageMaker | S3 | EC2 | ECR | Kinesis | Lambda | RDS | API Gateway | EventBridge |
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| Azure Databricks | Data Lake Gen2 | Data Factory | Container Registry |
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