Saravana Ayyappa

(EWS) BFSI
• Architected a multi-agent GenAI framework for EWS, reducing fraud-false-positive by 40% and reducing alert
review time by 70% through contextual AI-generated insights.
• Acted as AI architect translating RBI and IFRS-9 regulatory requirements into a production-grade Expected
Credit Loss (ECL) modelling framework (PD/LGD/EAD).
• Designed automated model monitoring, retraining, and performance pipelines for core fraud and credit risk
models, resulting in accuracy improvements and reduced operational workload.
• Led the migration of legacy PL/SQL systems (OTMS, EFRMS) into Python-based microservice architectures,
enabling scalable ML deployment.
• Managed daily scrum discussion and delivered weekly status reports to stakeholders and ensuring cross
functional alignment between technical teams and business leadership while guiding junior team members on
production-grade ML engineering.

• Led the development of Marketing Mix Models (MMM) for multiple campaigns for a global laptop manufacturer
reducing inventory overstock by 15% and optimizing media spend ROI across different regions.
• Designed reusable end to end analytics workflows covering data ingestion, feature engineering, model training and
validation, ensuring consistency and reusability.
• Managed client delivery, model insights and mentored a team of 5+ analysts, improving quality and client satisfaction.

• Designed and deployed time-series Machine Learning models using high-volume sensor data to predict 4WD
Loader equipment failures, resulting in reduction in unplanned downtime by 40%.
• Conducted advanced exploratory analysis to study the impact of different weather conditions on 4WD loader
performance and usage patterns.
• Collaborated with the Product and Operations team to deliver AI-driven insights aligned with business goals and
operational KPIs.

• Built and supervised predictive demand forecasting models for laptops, improving forecasting accuracy across key
product lines like consumer & specialized gaming.
• Implemented and validated advanced time-series models like ARIMA/ARIMAX, LSTM and regression-based
forecasting.
• Built sentiment analysis pipelines to extract product insights from unstructured customer feedback and reviews.

• Supported and coordinated the execution of supply chain initiatives for chemical products, ensuring optimal
inventory distribution across different locations and improving Credit decision workflows.

• Conducted operational audits and performance analyses in the IBX Data Centre.
• Led root cause analyses (RCAs) for critical incidents, applying systematic problem-solving and predictive trend
analysis to prevent future operational disruptions.
• Managed service quality and compliance including site analyses and conceptual planning for an assigned set of
clients.