DATA & AI

BI & AI DELIVERY

OBJECTIVES

Deliver integrated, insight-driven solutions that transform raw data into automated intelligence, accelerating decision-making and operational efficiency across business verticals.

TEAM CAPABILITIES

  • Data Engineering
    Built scalable data pipelines using Fabric, SQL, and Python.
  • Data Science & AI
    Developed AI models with Dataiku, Azure AI Foundry, and LLaMA 3 environments.
  • BI & Visualization
    Delivered dashboards and reporting through Power BI and Tableau.
  • Automation & Integration
    Automated workflows and system integrations using APIs and Power Automate.
  • Governance & Data Quality
    Maintained accuracy, lineage, and compliance with Purview and QA frameworks.

DELIVERABLES

  • End-to-End Data Workflows: Built and operationalized data pipelines, lakehouse architecture, and semantic models across HR, Finance, and Procurement.
  • Unified Analytics Layer: Delivered enterprise dashboards in Power BI and Tableau, leveraging data from Fabric and Oracle ADW.
  • AI & ML Use Cases: Deployed machine learning models using Dataiku and Azure AI Foundry, embedding predictive analytics into business operations.
  • Real-Time Intelligence: Implemented streaming dataflows and IoT telemetry pipelines for live analytics and monitoring.
  • Automation & Decisioning: Enabled intelligent workflows, approvals, and triggers using Power Automate and AI Builder.
  • Cognitive BI: Integrated Balanced Scorecard principles into dashboards, combining strategic KPIs with predictive insights.