Services
Data Science & Machine Learning
Develop useful, explainable predictive models that fit business processes.
The business challenge
A model that performs in a notebook is not enough. Lumera connects the business question, data quality, evaluation, and operational integration.
What Lumera delivers
- A measurable baseline and evaluation suited to business risk.
- Reproducible, explainable models monitored over time.
- A clear path to deployment and monitoring.
Core capabilities
- Classification, regression, and forecasting
- Clustering, anomaly detection, and recommendation
- Churn, risk, and predictive maintenance
- Optimization, computer vision, and explainable AI
Example use cases
- Risk scoring and segmentation
- Demand and capacity forecasting
- Operational anomaly detection
- Customer or financial signal prioritization
Technologies we work with
Python
pandas
scikit-learn
XGBoost
PyTorch
MLflow
OpenCV
Delivery approach and architecture
- 01Business problem
- 02Data assessment
- 03Baseline
- 04Features
- 05Model
- 06Validation
- 07Monitoring
Engineering practices
- Train / validation / test separation and baseline comparison
- Reproducibility, cross-validation, and calibration where appropriate
- Explainability, version tracking, and drift detection
Security and production readiness
- Risk assessment, human validation, and controls for high-impact use.
- Traceability for datasets, model versions, and sensitive decisions.