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Innovative and dynamic Data Scientist providing a diverse range of services, including project development, teaching, workshops, technical writing, and career coaching. My skill set includes (not limited to):
- ✅ Data Science, Analytics & ML: Python, TensorFlow, Scikit-learn
- ✅ AI: Langchain, LlamaIndex, Hugging Face, Transformers, Vector Databases
- ✅ Key Domains: Regression, Classification, NLP, LLM, RAG, Computer Vision, Neural Networks, Ensemble Methods, Clustering, Dimensionality Reduction
- ✅ Data Engineering: dbt, Terraform, SQL, BigQuery, PySpark, Databricks
- ✅ MLOps: MLflow, Prefect, Comet, Docker, Kubernetes
- ✅ APIs: Flask, FastAPI
- ✅ Apps: Streamlit, Gradio
- ✅ Cloud Platforms: GCP, AWS
- ✅ Version Control: Git
💰 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 | DevOps Best Practices |
|---|---|---|---|---|
| ML/MLOps | ||||
| MLOps Credit Default | Scikit-learn LightGBM MLflow Databricks |
AWS/Databricks | Experiment Tracking Model Registry Model/Data Monitoring Data Validation Linting Formatting Testing Error Handling Pre-Commit IaC CI/CD |
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| Medical Insurance Costs Prediction | Scikit-learn TensorFlow SageMaker Comet ML Flask |
AWS | Experiment Tracking Model Registry Model/Data Monitoring Model/Data Monitoring Linting Formatting Testing Error Handling Coverage CI/CD |
|
| Stroke Prediction | Scikit-learn XGBoost SageMaker Comet ML Flask Docker |
AWS | Experiment Tracking Model Registry Model Monitoring Containerization Testing Error Handling |
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| Car Price Prediction | Scikit-learn TensorFlow MLFlow Prefect Flask Docker Grafana Terraform |
AWS | Experiment Tracking Model Registry Model 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 Model 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 | ||||
| RAG Hybrid Search and Semantic Caching | Qdrant FastEmbed SPLADE Hugging Face Transformers |
Error Handling Linting Formatting |
||
| Multimodal Bill Scan System | AWS Bedrock AWS DynamoDB AWS SQS/SNS AWS CDK Claude 3 Sonnet |
AWS | Error Handling Linting Formatting IaC |
|
| IaC in RAG Applications with Terraform | AWS Bedrock LangChain AWS Opensearch Terraform Titan |
AWS | Testing Error Handling Linting Formatting IaC |
|
| Scalable RAG in AWS with Fargate | OpenAI LlamaIndex Qdrant AWS CDK/Fargate FastAPI |
AWS | Testing Error Handling |
|
| RAG Deployment with Azure Functions | OpenAI LangChain Qdrant Azure Functions App |
Azure | Linting Formatting Testing Error Handling |
|
| Scalable RAG with Kubernetes | OpenAI LlamaIndex Qdrant Docker FastAPI GKE |
GCP | Streamlit | Containerization Linting Formatting Testing Error Handling CI/CD |
| Research Papers Semantic Search | OpenAI LangChain Qdrant Docker AWS API Gateway |
AWS | Streamlit | Containerization Linting Formatting Testing Error Handling |
| Video Summarization | Hugging Face Transformers Whisper Langchain ChromaDB |
Streamlit | Error Handling | |
| Multimodal RAG with Video Frames | Gemini LlamaIndex Qdrant |
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| Books Reranking Semantic Search | OpenAI LlamaIndex Deep Lake |
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| RAG Evaluation with Ragas | OpenAI Hugging Face Transformers Faiss LangChain Ragas |
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| PII RAG LlamaIndex Milvus | OpenAI Presidio LlamaIndex Milvus |
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| Multimodal RAG with PyMuPDF | OpenAI Qdrant LlamaIndex PyMuPDF |
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| Agentic RAG LlamaIndex Milvus | OpenAI Claude LlamaIndex Milvus |
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| Agentic RAG with LangChain | OpenAI Groq LangChain Pinecone |
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| Agentic RAG with CrewAI | OpenAI LangChain Qdrant CrewAI Agents |
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| Fine Tuning Gemma 2B | Hugging Face Transformers PEFT (LoRA/QLoRA) |
Hugging Face | ||
| Data Analysis + Modeling | ||||
| 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 |
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| 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 |
|
| Miscellaneous | ||||
| Justicio Web Scraping | Beautiful Soup MySQL |
Error Handling |
💸 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
