Machine Learning & Time-Series Modelling

We engineer predictive architectures built on multivariate time signals, operational telemetry, consumer behavior curves, and reliability thresholds — turning forecasting into a strategic backbone.

Core Delivery Areas

Multivariate Forecast Engines

Risk, Churn & Demand Scoring Models

Early Anomaly & Failure Alerts

AutoML for Temporal Feature Fabric

Sensor Time-Series Awareness

Realtime ML & Monitoring Dashboards

Technology Fabric

Temporal Transformers

ARIMA · Prophet · ETS

Spectral Forecast Models

AutoML Deployment

Realtime Event Scoring

Hybrid Forecast Pipelines

Solution Snapshots

Multimodal Clinical Signal Interpretation

Developed an integrated layer for vibro-acoustic traces, IMU motion signals and physiological time-series streams, enabling structured insight extraction across rehabilitation monitoring, neurological assessment and remote patient observation workflows.

Cross-Domain Visual and Temporal Intelligence

Designed a perception pipeline combining video analytics, medical imagery review, waveform sequence analysis and long-horizon temporal modelling, supporting event tracking, procedural interpretation and structured diagnostic context across clinical and field settings.