Client
Finhealer - Financial Forecasting Platform
Challenge
Navigating the Challenge: Improving Financial Transaction Forecasting ! Financial institutions required a high-accuracy forecasting model to mitigate risks and optimize investment strategies.
Solution
I engineered an ensemble forecasting model combining deep learning and machine learning techniques to enhance financial predictions.
- Hybrid Approach: Combined LSTM, Prophet, XGBoost, and LightGBM.
- Feature Engineering & Optimization: Applied rolling statistics, lag features, and trend decomposition.
- Real-Time Forecasting: Enabled dynamic adaptation to financial data changes.
Impact & Success : Smarter Financial
Decision-Making
Achieved a 96.7% forecasting accuracy, providing institutions with real-time insights
and risk assessment capabilities.
and risk assessment capabilities.
Client Feedback
The forecasting accuracy has made a significant difference in our financial strategy. Your expertise in AI is impressive, and we look forward to future projects together!