• Architected a governed Microsoft Fabric Medallion architecture integrating multiple SAP/S/4HANA sources into Bronze, Silver and Gold layers for enterprise analytics, AI/ML and executive reporting.
• Established clear separation between raw tables, analyst-ready data products and end-user/business consumption layers, improving trust, usability and governance of AI-ready datasets.
• Implemented data quality controls and ownership-based escalation/notification logic so data owners are alerted when inconsistencies or human-entry errors affect critical datasets.
• Designed and governed machine-learning forecasting and anomaly-detection workflows across customers, plants and products, with strong focus on accuracy, uncertainty, leakage prevention, auditability and business trust.
• Developed AI-assisted talk-to-data concepts using Azure ML/AI and COPA/SAP data, enabling business stakeholders to retrieve insights from complex financial and operational data through controlled natural-language interaction.
• Automated finance, P&L, raw material, supplier spend and maverick-buying analytics using Fabric, Power BI and Power Apps, supporting CFO/EXCO decision-making and reducing manual reporting effort.
• Prepared monthly executive updates on AI initiatives, AI data readiness, architecture risks and roadmap progress for CFO/EXCO-level stakeholders.
• Led and mentored cross-functional analysts/engineers while aligning finance, SCM, IT and business stakeholders around common data definitions, governed reporting and AI adoption.

Developed end to end fully automated forecasting pipeline for manufacturing company, using Microsoft Fabrics and Azure ML. 

Pipeline is fully automated from data ingestion to running the forecast and saving it back into SAP.

Data is ingested directly from SAP S4 to Fabrics and then from Fabrics to Azure and customised training script with 309 features built which used latest algorithms and pass through atleast 110+ models with hyper parameter optimisation to find the best parameters and improving the accuracy

Developed fully automated Product and Customer Profitability analysis within Fabrics

One stop shop to get instantly where the client losing money in which products or customer.

• Contributed to multi-country API architecture for Allianz by separating shared group capabilities into reusable APIs and country-specific legal/regulatory requirements into microservices and event-driven components.
• Worked across seven countries and aligned business, IT and legal requirements to improve API reusability, scalability and compliance across international insurance operations.
• Designed and supported REST API and digital-connectivity initiatives, including CISL-related requirements, partner integration patterns and reusable API capabilities for international customers.
• Architected proactive customer-notification concepts integrating real-time weather data, policy context and customer eligibility logic to provide timely preventive guidance to insured customers.
• Built Azure-based analytics, SQL data integration and Power BI reporting solutions, creating a single source of truth for business and management stakeholders under GDPR-aware controls.
• Created real-time/event-driven reporting pipelines using SQL/Scala/Azure patterns, reducing reporting latency and improving management visibility into operational KPIs.
• Reported API harmonisation, digital-connectivity progress and initiative status to Allianz Austria leadership, including management-level communication of architecture direction and business impact.
• Applied Agile/Scrum, Jira and stakeholder workshops to translate complex business requirements into scalable technical designs and delivery-ready architecture decisions.

• Built data pipelines and DWH models to visualise real-time customer feedback, returns, purchase lifecycle and revenue insights in Tableau for management decision support.
• Translated business requirements into analytical data models and dashboards to support customer and sales-performance decisions. 

• Built high-volume ML/data pipelines and analytics workflows for impersonation and platform-integrity use cases, supporting large-scale detection and operational decision-making.
• Worked with global teams across Dublin, San Francisco and Singapore, coordinating analytics, reporting and operational improvement initiatives across time zones.
• Developed automated reporting and Tableau/Excel dashboards, reducing repetitive manual work and improving operational visibility for leadership teams.
• Prepared weekly, monthly and quarterly insight reports for senior stakeholders, translating complex operational data into clear business recommendations.
• Integrated data from multiple sources using SQL, Python and R to ensure KPI consistency, quality and traceability across global operations. 

• Led requirements gathering, UAT, stakeholder workshops and process-improvement initiatives between business leadership and development teams.
• Used data analytics to improve procurement decisions, supplier management and customer retention, supporting business expansion and operational efficiency.
• Organised recurring stakeholder brainstorming sessions to identify business opportunities, validate requirements and prioritise technology improvements.