Agentic AI + Data Science • production delivery • measurable ROI

Outcomes-focused case studies and engagement examples.

Use these as starting points—each engagement is designed around measurable KPIs and production-ready delivery.

Featured case studies (carousel)

Swipe on mobile. Use arrows on desktop. Each slide shows a compact “problem → approach → outcome” story.

Operations • Industrial

Problem: downtime events were frequent and poorly explained.

Approach: anomaly detection + text mining for failure patterns + alert routing.

Outcome: faster detection, fewer false alarms, clearer root-cause signals.

AnomalyNLPMLOps

AI/LLM • Knowledge

Problem: employees struggled to find accurate policy answers.

Approach: RAG over policy/tickets + safety guardrails + regression evals.

Outcome: consistent answers, measurable accuracy, safer rollout.

RAGGuardrailsLLMOps

Revenue • Planning

Problem: planning relied on manual spreadsheets and intuition.

Approach: time-series models with uncertainty + what-if simulation.

Outcome: improved staffing/inventory decisions and executive visibility.

ForecastingUQBI

Customer • Growth

Problem: retention efforts were broad and expensive.

Approach: churn model + uplift targeting + A/B measurement.

Outcome: more efficient spend and clearer drivers of churn.

ChurnUpliftExperiments

These are example engagement types you can tailor to your business.

🛡️ Governance

Performance analysis, drift diagnostics, fairness checks, retraining triggers, and documentation.

DriftFairnessModel cards

🧩 Agentic

Auto-summarize incidents, propose next steps, route to the right team, and log rationale.

Tool useHITLAudit

📈 ML

Rebuild scoring with calibration, thresholding, and monitoring to reduce false positives.

ImbalanceCalibrationMonitoring

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