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I built Power BI dashboards for financial and operational reporting, with row-level security to ensure each user could see only the data permitted by their assigned role and region.
The work included designing the data model, creating Power Query and DAX logic, configuring security access, and supporting dependable report refreshes. The dashboard and RLS rule shown are sanitized portfolio examples using sample data, with no client data or proprietary report elements included.
The network for creativity
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Creatives on Contra have earned over $150M and we are just getting started
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Turning Healthcare Data Into Actionable Insights with Power BI 🏥📊
I recently created this interactive Power BI healthcare dashboard to analyze hospital readmission patterns and uncover key insights from patient data.
The dashboard provides an overview of:
🔹 Total Patients & Readmitted Patients
🔹 Average Number of Medications
🔹 Patients with High Glucose Test Results
🔹 Readmission by Age Group
🔹 Patient Distribution by Age
🔹 Glucose Tests & Diabetes Medication Analysis
🔹 Procedures & Lab Procedures Trends
🔹 Patient Distribution by Medical Specialty
🔹 Medication & Treatment Analysis
Using Power BI, DAX, and data visualization, I transformed complex healthcare data into an interactive report that makes trends and patterns easier to identify.
The goal isn't just to visualize data it's to make the data tell a story.
I'm a Microsoft Certified Power BI professional, passionate about transforming raw data into clear dashboards and actionable insights.
📊 Have a dataset that needs to be turned into a meaningful dashboard?
Let's build it together.
#PowerBI #DataAnalytics #HealthcareAnalytics #DataVisualization #BusinessIntelligence #DAX #PowerQuery #MicrosoftPowerBI
Too many businesses try to build complex predictive AI models before their basic data pipelines are even functioning. You cannot skip the fundamentals.
The Data Hierarchy of Needs for scaling SMBs:
Level 1: Stable Collection (SQL) — Your database health and data pipelines. If your raw data is broken, everything built on top of it will fail.
Level 2: Data Governance (Python) — Enforcing uniform definitions, cleaning messy data, and ensuring total integrity.
Level 3: Automated BI (Power BI) — Moving away from manual spreadsheets to automated executive views and daily KPI tracking.
Level 4: Predictive Insights (AI / ML) — Churn models and forecasting. This only generates ROI if levels 1 through 3 are rock solid.
Stop wasting time on manual data entry and broken reports. If you are stuck at Level 1 or 2, I can help you scale up. Check out my Contra services to get your SQL pipelines automated and your Power BI dashboards built right the first time.
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