Arivalagan Raghavan

Developed and deployed machine learning models to predict patient medication non-adherence, significantly improving targeted intervention success by 30%.

Designed and implemented unsupervised clustering models to stratify patient risk, enabling personalized care strategies for chronic disease management.

Engineered LSTM-based anomaly detection systems for IoT temperature data, safeguarding cold chain logistics for temperature-sensitive medications.

Led strategy and delivery of 30+ AI/ML-based products in healthcare and pharma logistics, significantly improving patient adherence and operational efficiency.

Defined and executed comprehensive roadmaps for AI-powered platforms, driving innovation in clinical trials, supply chain visibility, and medication adherence across global teams.

Translated complex real-world clinical and logistics data into actionable ML features, enabling precise demand forecasting, anomaly detection, and robust cold chain monitoring.

Directed and delivered telecom projects, achieving 100% on-time completion while ensuring strict adherence to contractual SLAs and coordinating diverse cross-functional teams.

Achieved 95% stakeholder alignment by implementing structured bi-weekly requirement reviews and agile sprint planning methodologies.

Enhanced billing accuracy and documentation turnaround by 25%, streamlining financial reporting workflows and improving efficiency.

Supported the successful deployment of AI-based network optimization and predictive maintenance pilots, leading to reduced downtime and elevated service quality.

Managed the rollout of AI-powered chatbots and sentiment analytics tools, resulting in reduced call center volumes and improved Net Promoter Scores (NPS).

Oversaw delivery of ML+RPA solutions for fraud detection and back-office automation, boosting operational efficiency by 20%.

Trained and supervised teams, achieving a 90% compliance rate in project delivery and significantly enhancing client satisfaction.

Managed end-to-end project deliverables, ensuring strict adherence to schedule, budget, and quality requirements through robust Work Breakdown Structure (WBS) and change control.

Maintained transparent stakeholder communication via regular status calls and review meetings, securing formal acceptance of deliverables.

Proactively planned and managed project risks, developing effective mitigation plans to ensure project continuity and success.

Delivered services within Service Level Agreements (SLA) to global customers, ensuring high satisfaction and managing change requests and supplier coordination.

Streamlined project efficiency by analyzing data to identify and reduce SLA time for projects in suspension and on hold, successfully reducing the average waiting period from 60 days to 30 days.

Conducted root cause analysis for field engineer visit aborts, achieving a 100% success rate, which significantly minimized financial losses for the client through targeted interventions.