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Data Savants
Full data science lifecycle: data import, ETL, visualization, ML models, and chat interface. Streamlit frontend, Python backend. Scheduled jobs and automation. Received A+ for the project.
Languages
Python
Skills & Tech
StreamlitPandasScikit-learnETLVisualizationChat Interface
Overview
A full data science platform covering the complete lifecycle: data import, ETL, visualization, ML models, and a chat interface to query insights. Streamlit frontend, Python backend. Scheduled jobs and automation. Final Year Project — received A+.
What I Built
- Data import — CSV, Excel, database connectors
- ETL pipeline — clean, transform, load data for analysis
- Visualization — charts, dashboards, interactive plots
- ML models — training, evaluation, inference
- Chat interface — natural language queries over the data
- Scheduled jobs — automated data refresh and model retraining
Tech Stack
- Frontend: Streamlit
- Backend: Python (Pandas, scikit-learn, etc.)
- Visualization: Plotly, Matplotlib
- ML: scikit-learn, TensorFlow, or similar
- Automation: cron, Celery, or similar
Outcome
Demonstrates end-to-end data science capability — from raw data to actionable insights and automation. A+ grade for the Final Year Project.