👨‍💻 My Profile

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👨‍💻 My Profile

Innovative and dynamic Data Scientist with a proven track record in leveraging AI and Machine/Deep Learning techniques to develop impactful data-driven solutions. My skill set includes:

✅ 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, LangSmith
✅ Key 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, BigQuery, PySpark
✅ MLOps: MLflow, Prefect, Mage, Comet, Docker, Kubernetes
✅ APIs: Flask, FastAPI, AWS API Gateway
✅ Cloud Platforms: GCP, AWS, Azure

Currently working as a Freelance for Data Analytics/Science ML and AI end-to-end projects, 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 😃.

📄 Projects Portfolio

💰 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	Best Practices
ML/MLOps
Medical Insurance Costs Prediction	Scikit-learn, TensorFlow, Comet ML, Flask	AWS		Experiment Tracking, Model Registry, Model/Data Monitoring, Linting, Formatting, Testing, Error Handling, Coverage, CI/CD
Stroke Prediction	Scikit-learn, XGBoost, Comet ML, Flask, Docker	AWS		Experiment Tracking, Model Registry/Monitoring, Containerization, Testing, Error Handling
Car Price Prediction	Scikit-learn, TensorFlow, MLFlow, Prefect, Flask, Docker, Grafana, Terraform	AWS		Experiment Tracking, Model Registry/Monitoring, Orchestration, Containerization, Linting, Formatting, Testing, Error Handling, IaC, CI/CD
Taxi Rides Prediction	Scikit-learn, TensorFlow, MLFlow, Prefect, FastAPI, Docker	GCP		Experiment Tracking, Model Registry/Monitoring, Orchestration, Containerization, Error Handling
Music Clustering	Scikit-learn, FastAPI, Docker	AWS	Streamlit	Containerization, CI/CD
Birds Classification	Pytorch		Gradio
Food Prediction	Scikit-learn, TensorFlow, OpenCV, FastAPI, Docker	GCP	Streamlit	Containerization
LLM, RAG and Fine-tuning
Scalable RAG with GKE, LlamaIndex and Qdrant	OpenAI, LlamaIndex, Qdrant, Docker, FastAPI, GKE	GCP	Streamlit	Containerization, Linting, Formatting, Testing, Error Handling, CI/CD
RAG AWS LangChain Qdrant	OpenAI, LangChain, Qdrant, Docker, AWS API Gateway	AWS	Streamlit	Containerization, Linting, Formatting, Testing, Error Handling
Q&A and Summarization	Hugging Face Transformers, Whisper, Langchain, ChromaDB		Streamlit	Error Handling
RAG Llama Index	OpenAI, LlamaIndex, Deep Lake
RAG LangChain Ragas	OpenAI, Hugging Face Transformers, Faiss, 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 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
Data Engineering
Hotel Reviews	Prefect, Spark, SQL, BigQuery, dbt, Terraform, Looker	GCP		Orchestration, Linting, Formatting, Error Handling, Pre-Commit, IaC, CI/CD
Air Quality Switzerland	Mage, dbt, SQL, BigQuery, Docker, Terraform, Looker	GCP		Orchestration, IaC, Containerization, CI/CD

💸 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

Last but not least, I also have a Tableau portfolio using groups, sets, blends, joins, table calculations, storylines, parameters, animations, and other advanced functions