A financial forecasting and integration platform using Django REST, ML models, and automated data ingestion from accounting systems.
Objectives:
- Predict profit and loss (P&L) using ML-driven models
- Integrate third-party financial APIs
- Enable secure data aggregation from multiple sources
- Deliver actionable analytics through machine learning algorithms
Role / Responsibilities:
- Developed backend using Django REST Framework.
- Integrated XERO API for financial imports.
- Implemented SARIMA/ARIMA forecasting models.
- Built hybrid ML + manual formula–based prediction engine.
