Cross-platform engagement forecasting
At DosBro, I deployed an LSTM + XGBoost hybrid model to forecast cross-platform user engagement, giving product teams a signal for when and how to push notifications instead of blasting everyone on a fixed schedule.
The hybrid beat baseline methods by 15% on prediction accuracy and informed data-driven retention campaigns across the company’s digital platforms.
Focus
- Hybrid deep learning and gradient boosting for forecasting
- Engagement prediction across multiple platforms
- Product-facing ML for notification strategy
