Power BI & business intelligence
Interactive dashboards that make performance visible, KPIs understandable, and decisions easier to act on.
Data engineer & analyst
Make your data work for you.
I turn scattered data into clear decisions with thoughtful analytics, powerful Power BI dashboards, and reliable data pipelines built to scale with your business.
STRATEGY · ANALYTICS · ENGINEERING
KURIAN ABRAHAM / ANALYTICSSAMPLE PREVIEW
Business performanceDEMO DATA
REVENUE₹8.4L↗ Illustrative
CONVERSION4.8%↗ Illustrative
ORDERS1,284↗ Illustrative
Performance over timeLAST 8 PERIODS
Revenue trendTarget trend
From raw data → clarityDashboards · Pipelines · Insights
Where I create valueBusiness intelligenceAnalytics engineeringData platformsDecision support
What I do
From messy data to
meaningful outcomes.
Practical data services that connect the technical details to the business questions behind them.
Data engineering & ETL
Reliable ingestion and transformation workflows that bring data together, improve quality, and make analytics repeatable.
Analytics & data strategy
Translate business goals into useful metrics, clean models, campaign insights, and reporting that teams can trust.
Selected work
Real questions.
Clearer answers.
A selection of analytics and reporting projects across commercial and healthcare use cases. Dashboard previews are project work, not client endorsements.
Product sales & revenue analytics
A sales performance view built to explore revenue patterns, product contribution, and business trends in one place.
Sales · Revenue · Product trendsDiscuss a similar project
Marketing campaign analytics
Campaign reporting for channel performance, lead generation, conversion efficiency, and return on marketing spend.
CTR · CPC · CPA · ROASDiscuss a similar project
Claims & revenue cycle analytics
A healthcare reporting view for claims, billing gaps, outstanding amounts, and operational performance indicators.
Claims · RCM · Billing insightsDiscuss a similar project
Ingest → Transform → Validate → Serve
Fraud analytics & data platform
A data-focused case study concept for organizing transaction signals, applying quality checks, and preparing reliable datasets for analysis.
Data quality · Monitoring · AnalysisExplore engineering
Under the dashboard
Good analytics starts with dependable data.
Behind every useful report is a pipeline that collects the right data, transforms it consistently, and makes quality visible. I bring engineering discipline to the whole path—not just the final chart.
- Batch ETL design and PySpark transformations
- SQL optimisation and reusable data models
- Validation, monitoring, and reporting-ready datasets
REFERENCE PIPELINEILLUSTRATIVE FLOW
IngestFiles · APIs · Source systems01 / INPUT
TransformSQL · Python · PySpark02 / PROCESS
ValidateSchema · Rules · Data quality03 / CHECK
Deliver insightsData models · Power BI04 / SERVE
DESIGNED FOR CLARITYEND-TO-END THINKING ↗
How I work
Clear steps. No black boxes.
A collaborative approach that starts with the business problem and ends with something your team can use and maintain.
Understand the problem
Align on goals, users, data sources, definitions, and the decisions the solution should support.
Shape the solution
Agree on metrics, data models, pipeline flow, dashboard layout, and delivery milestones.
Build and validate
Develop iteratively, test the logic, review outputs together, and improve based on feedback.
Enable your team
Document the solution, explain key decisions, and make the deliverables practical to maintain.
Start a conversation
Have a data problem worth solving?
Tell me what you’re trying to understand, automate, or improve. Share a little context and I’ll start with the problem—not a pre-packaged solution.
Available for remote projects