Decisions break where data disconnects. We fix that — partnering with organisations across sectors to turn fragmented data into aligned, decision-ready intelligence at scale.
Built a real-time demand sensing system integrating sales velocity, weather, social signals, and logistics data across 3,200 stores and 14 markets — reducing forecast error and unlocking inventory precision at scale.
Deployed a real-time pricing engine factoring competitor signals, inventory levels, and margin targets to deliver autonomous price recommendations across 3.2M SKUs with sub-50ms latency.
Built a unified promotion analytics engine that attributes trade spend to sell-through outcomes across 18 markets, eliminating leakage and enabling real-time optimisation of promotional budgets.
Deployed demand simulation models across primary and secondary distribution networks, enabling dynamic route planning and SKU prioritisation that reduced logistics cost while improving shelf availability.
Built an NLP pipeline to extract and classify adverse drug events from unstructured clinical notes across 5 hospital networks, replacing manual review processes and accelerating pharmacovigilance workflows.
Integrated clinical, operational, and administrative data to build predictive models for readmission risk and intervention timing — enabling proactive care coordination and reducing avoidable admissions.
Built a cross-channel attribution engine unifying digital, broadcast, OOH, and retail media signals into a single measurement layer — enabling marketers to connect every pound of spend to business outcomes in near real time.
Designed a real-time audience intelligence system ingesting behavioural, demographic, and content signals to power dynamic segmentation — enabling hyper-personalised campaign delivery at 340M+ user scale.
Built a real-time NBO system across 14M+ loyalty members, using transaction history, behavioural signals, and propensity models to deliver contextual offers — replacing static tier-based rewards with dynamic, personalised engagement.
Deployed an early-warning churn model integrated with the CRM to trigger personalised re-engagement sequences — transforming reactive win-back campaigns into proactive, data-led retention workflows.
Engineered a multi-model fraud decisioning system processing 12M+ daily transactions with sub-40ms latency — combining graph-based anomaly detection, behavioural biometrics, and ensemble scoring across card, UPI, and net banking channels.
Replaced a legacy scorecard-based credit model with a dynamic ML decisioning system using alternate data — bureau signals, payment behaviours, and transaction patterns — enabling faster, fairer credit decisions at scale.
Deployed a sensor-fusion predictive maintenance system across 340 production assets — combining vibration, thermal, and operational telemetry to forecast failures 48–72 hours ahead, replacing calendar-based maintenance with condition-based interventions.
Built a supply chain intelligence platform integrating supplier data, logistics feeds, and production schedules into a unified control tower — providing real-time visibility from raw material procurement to finished goods delivery.
Tell us about your data challenge and we'll come back with a clear, actionable plan — no jargon, no fluff, just a path forward.
