Data Science

Turning raw data into foresight with custom-trained models for churn, fraud, and forecasting.

Overview

Making decisions based on intuition leads to missed opportunities. Companies have data but lack the predictive layer to anticipate market shifts or customer behavior.

Capabilities

End-to-end ML development from data engineering and feature selection to model training (XGBoost, Transformers) and production deployment via REST APIs.

Outcomes

Data-backed decision frameworks, increased retention through churn prediction, and optimized inventory costs through accurate time-series forecasting.