AI-powered analytics with real product thinking behind it.
MetricMeld is where analytics, governance, and product execution come together — a conversational analytics experience built from real Power BI, Fabric, semantic modeling, and data platform lessons.
Conversational analytics
Natural language to insights
Admin workflow
Pending → approve → access
Platform mindset
Governed, scalable, product-first
MetricMeld Preview
Conversational analytics • governed access • semantic answers
Question
Which products are underperforming and what should we do next?
Semantic Answer
Lowest-performing products were identified using governed revenue definitions, then translated into next-step recommendations.
Governance Layer
Signup requests stay pending until reviewed by an admin. Access is approved intentionally, not opened by default.
Product Signals
Power BI • Fabric • Athena • Semantic SQL
Access Flow
Pending
Query Path
NL → SQL
Admin Action
Approve
What makes it different
Built like a product, not just a demo.
The goal is not only to answer questions with AI, but to make the experience feel governed, scalable, and realistic for how analytics products are actually used.
Ask analytics in plain English
Turn business questions into governed SQL, trusted metrics, and fast visual answers without digging through dashboards.
Semantic-model driven insights
MetricMeld is designed around reusable analytics logic so business users get consistent answers instead of conflicting KPI definitions.
Approval-based product access
New users request access first. Admins review and approve before anyone enters the platform, making it feel like a real internal product.
Built for modern analytics stacks
From Athena and SQL to Power BI, Fabric, semantic modeling, and governed reporting, the product is shaped by real-world analytics engineering problems.
About the builder
Built by Akhil.
Senior Data and Analytics Engineer focused on Power BI, Microsoft Fabric, semantic modeling, governed self-service, and performance optimization. MetricMeld reflects the way real analytics systems should work — structured, usable, and scalable.
MetricMeld
AI Analytics ProductA product-style AI analytics experience with governed access, semantic intelligence, query history, and follow-up analytics conversations.
Power BI + Fabric Architecture
Analytics EngineeringBuilt and practiced end-to-end patterns around Lakehouse, semantic models, incremental refresh, governance, and admin controls.
Portfolio Problem Solving
Applied BI ThinkingFrom SCD handling and performance tuning to self-service governance, the work focuses on solving real BI and analytics platform challenges.
MetricMeld
Where metrics meet meaning.
Explore the product, request access, or follow the build journey as MetricMeld moves from prototype to a real analytics experience.