Data Architecture & Strategy

Cleaned Data,
Clear Dashboards,
Fast Decisions

We transform chaotic data into high-fidelity visual intelligence — built on hands-on enterprise analytics and healthcare informatics experience.

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15+/ Projects delivered
100%/ On-time
Enterprise/ Data & Analytics
Healthcare/ Informatics

Trusted by Global Innovators

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Our Specializations

dashboard

Power BI Dashboards

Custom-engineered BI environments that connect your entire data ecosystem into a single source of truth.

AzurePower BIDAX
monitoring

KPI Reporting

Strategic alignment through data. We define the metrics that actually move the needle for your business.

Power BIExcelStrategy
table_chart

Excel Advanced

Complex VBA automation and legacy tool transformation for teams that need precision at speed.

ExcelPower QueryVBA
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Data Cleaning & ETL

Eliminate the “Garbage In, Garbage Out” cycle. We engineer robust pipelines for pristine data quality.

PythonSQLDBT

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// Portfolio

Real work.
Real results.

Professional background

EnterpriseHealthcare
Power BI data model for hospital patient flow analytics — real-time bed occupancy and admission dashboard
Healthcare Analytics

Hospital Patient Flow Analytics

Problem

No real-time visibility into bed occupancy or admission bottlenecks — decisions made on day-old exports.

Approach

Connected live hospital data sources to a Power BI dashboard with department-level KPIs. Built automated refresh so teams see current metrics — no manual exports, no stale reports.

Result

Real-time bed occupancy, admission trends, and length-of-stay metrics visible to every department. Fully automated — zero manual exports.

Power BIDAXSQLReal-time
Clean marketing campaign data output showing standardized columns and corrected records
Data Cleaning

Marketing Campaign Data Cleaning

2,020-row campaign dataset with typos, mixed formats, and 34 date logic errors making analysis unreliable.

Result

Dataset fully cleaned. Categories 10 → 6. All date errors resolved. Ready for reliable reporting.

PythonPandasColab
Excel QA Summary dashboard showing appointments migration exceptions and reconciliation pivot
Excel / QA

Appointments Migration QA

Post-migration appointment data had no systematic validation — duplicate IDs, datetime errors, and a cancellation rate spike from 6% → 33% were invisible without a structured audit framework.

Result

9 high-severity exceptions surfaced and quantified. Cancellation spike (6% → 33%) formally documented. Complete, stakeholder-ready audit trail delivered.

ExcelPower QueryPower Pivot
Top 10 most popular bike share start stations — BigQuery SQL analysis bar chart
SQL Analytics

Bike Share Ridership Analysis

Raw operational data from 15,000 rides across 25 stations — no validated insights on usage patterns or demand peaks.

Result

0 nulls in key fields. Casual riders average longer rides than subscribers. Peak demand identified at 15:00–16:00.

BigQuerySQLPython

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