Overview
We provide four core practice areas, each mapped to the detailed steps on our Process page:
- Data Analytics (Descriptive): Interactive dashboards, statistical summaries, evidence-based reporting. No predictive modeling.
- Supervised Machine Learning (Predictive): Regression and classification models, end-to-end MLOps pipelines, real-time or batch predictions.
- Unsupervised Machine Learning (Pattern Discovery): Clustering, anomaly detection, and dimensionality reduction to uncover segments or early-warning insights.
- Web Development: Fast, accessible dashboards and data-powered web apps built on PHP-FPM, Nginx with Docker, PostgreSQL, and SEO-optimized front ends.