Rohith Prabakaran
Data Engineer
Open to Work
- Target role
- Data Engineer
- Availability
- Actively looking
- Experience
- Beginner
- Working preference
- Remote (global)
Azure DatabricksPower BIETLSSMSTableauPysparkRAGMCPLorA fine tuningPandasNumPyScikit-learnTensorFlowTroubleshootingInvestigationData ModelingMedallion ArcGitDockerSQLCopilotCodex
E-Commerce Customer Segmentation & Prediction
ViewPython, Scikit-learn, XGBoost, Gradio, Power BI
XGBoost classifier on SMOTE-balanced RFM features achieving 99.5% weighted accuracy;
MCP-Powered RAG Assistant
ViewPython, Ollama, Gemma 2, ChromaDB, FastAPI, Docker, LoRA
improved grounded-behaviour accuracy from 85.29% to 100% on 34 synthetic held-out cases