End-to-End Analytics Pipeline
Data Science 360 Capstone Project
Capstone analytics project from Data Science 360 training covering Python, SQL, ML, data visualization, and predictive analytics.
PythonSQLMachine LearningPower BIPandas
DS 360
Certificate
Full
Stack
2022
Year
Problem Statement
Needed to demonstrate end-to-end analytics capability from raw data ingestion through modeling to stakeholder-ready visualizations.
Architecture
Python data pipeline for ETL and ML, SQL for data extraction, Power BI for final stakeholder visualization and reporting.
Database
Structured datasets with customer, transaction, and behavioral records.
Solution
Delivered complete analytics pipeline with data cleaning, feature engineering, predictive modeling, and interactive Power BI dashboards.
Key Queries
- Data quality and profiling queries
- Feature engineering aggregation queries
- Model validation metric queries
Dashboards Built
- Predictive analytics dashboard
- Data quality monitoring panel
- Business insight summary report
Business Insights
Demonstrated full-stack analytics capability
Delivered actionable predictive insights
Built foundation for production analytics career
Challenges
- End-to-end pipeline design and execution
- Balancing model accuracy with interpretability
- Creating stakeholder-friendly visualizations
Future Scope
- Production deployment
- Real-time data integration
- Advanced ensemble modeling
Features
Complete ETL pipelinePredictive modelingInteractive visualizationsAutomated reporting outputs