Muhammad Jalal KhanMJ
Muhammad Jalal KhanData & BI Developer
Microsoft Certified Power BI Data Analyst (PL-300) · open to roles & projects

Power BI reporting businesses actually run on.

I'm a Microsoft Certified Power BI Data Analyst. I design the semantic models, SQL warehouses and dashboards leadership makes decisions from — then extend them with forecasting and AI automation when the data is ready for it.

> currently building:

pipeline://jalal-stack/prod live
rows / sec0
latency0ms
insights0
Power BIDAXPower QuerySQL ServerT-SQLMicrosoft FabricAzure Data FactoryDataflows Gen2LakehouseMedallion ArchitectureStar SchemaPythonpandasscikit-learnMachine LearningForecastingNLPLangChainRAGVector DatabasesAgentic AIn8nREST APIsGitTableau
0
Projects delivered
0
Documented on this site
0
Years in practice

Reporting first.
Then everything it makes possible.

Most of my work is Data Analytics & BI: Power BI semantic models, SQL reporting and the dashboards decisions get made from. Because I also build the warehouse underneath and the AI layer on top, the reporting is never limited by a pipeline somebody else owns. Each discipline below has a live demo you can try.

All services →

Reporting that changed
what the business did next.

All 18 projects →
Marketing campaign analysis dashboard
DATA ANALYTICS & BI · CASE STUDY

Marketing Campaign Analysis Dashboard

The channel with the lowest click-through rate turned out to return 75% more revenue per conversion — an insight that redirected the client's ad budget.

Read the case study →
Critical care and ER analytics dashboard
DATA ANALYTICS & BI · CASE STUDY

Critical Care & ER Analytics Dashboard

A healthy-looking average wait time was hiding that only 40.68% of patients were seen within the 30-minute target.

Read the case study →
Enterprise data warehouse architecture
DATA ENGINEERING · CASE STUDY

Enterprise Data Warehouse on a Medallion Architecture

CRM, ERP and static Excel unified into one governed star schema — so every number in a report traces back to the source row it came from.

Read the case study →

Understand the data before you
build anything on top of it.

01

Diagnose

What decision is being held back, and what's actually in the data? The problem gets defined before any tool is chosen.

02

Model

Warehouse layers and a semantic model designed around how your business genuinely measures itself.

03

Build

Pipelines, reports and agents built in short cycles you can review as they take shape.

04

Validate

Checks at every layer transition, so errors are caught where they originate rather than surfacing in a report.

05

Automate

Scheduled refreshes, alerting and AI on top, so the system runs with minimal oversight.

Got a question?
Ask my assistant.

It knows my services, stack, projects and how I work, and answers instantly. Type a question or tap a suggestion.

  • Instant answersServices, experience, pricing approach and availability.
  • Jumps you to the proofLinks straight to the relevant demo or case study.
  • Try a commandType help, or sudo hire jalal.

Have data that isn't working for you yet?

Tell me what you're trying to decide or automate. I'll tell you honestly what it would take.