EJ.

Houston, Texas · Open to opportunity

I turn complex data into clear decisions.

Power BI Developer, Report Writer and Data Analyst building fast, intuitive reporting experiences that help teams see what matters—and act on it.

Explore my work ↓Contact me ↗View GitHub project ↗
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DATA
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Portrait of Emmanuel Jibiri
Emmanuel O. JibiriBI · Analytics · Strategy
POWER BI ✦ SQL ✦ MICROSOFT FABRIC ✦ PYTHON ✦ DATA MODELING ✦ STORYTELLING ✦

Selected work

Reporting built to clarify performance.

Interactive dashboards that translate healthcare quality, service performance and commercial data into focused decisions.

01
Power BIHealthcare AnalyticsData Visualization

CMS Quality Measures Dashboard

An interactive Power BI reporting experience for exploring CMS quality-measure performance across the selected reporting period.

  • Clear presentation of quality measures
  • Interactive filtering and report navigation
  • Healthcare performance reporting
Explore Interactive Report
Live Power BI reportUse filters and page tabs
02
Power BIService QualityWorkforce Analytics

SLA Performance Dashboard

An interactive service-quality dashboard that connects QA scores, SLA compliance and escalation behavior to reveal where operational performance is strong—and where action is needed.

  • Executive overview of QA, SLA and escalation performance
  • Employee and weekday trend analysis with dynamic insights
  • Forward-looking risk view for service-quality decisions
Explore Interactive Report
Live Power BI reportExplore overview, trends and forecast
Interactive Excel workbookUse slicers and filters
03
Microsoft ExcelSuperstoreInteractive Dashboard

Superstore Performance Dashboard

A dynamic Excel dashboard built from sample Superstore data to turn sales and profitability results into an accessible decision-making view.

  • Interactive slicers and filters
  • KPI cards with performance indicators
  • Sales, profit and category trend analysis
04
Sports AnalyticsMachine LearningMicrosoft Fabric

NBA Game Predictor

Pre-game winner predictions and live win probabilities built from 30 seasons of NBA data, with a reproducible Python pipeline and an interactive Microsoft Fabric report.

  • 66.4% pre-game accuracy across 4,920 unseen test games
  • Walk-forward evaluation, Elo benchmarks and calibrated probabilities
  • MLflow models, Direct Lake reporting and daily 2026–27 picks

View project on GitHub

Open the interactive report

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NBA Game PredictorMicrosoft Fabric report

About / 03

Technical depth.
Business instinct.

I bridge the space between raw information and confident action. My background spans management information systems, healthcare administration and operational analytics—so I design reports for the people using them, not simply the data behind them.

Currently a Data & Research Analyst at Meneses Law, I build automated reporting workflows, define KPIs and translate performance signals into clear recommendations.

01

Clarity first

Every visual earns its place.

02

Built to trust

Reliable models and definitions.

03

Made to act

Insights tied to decisions.

Credentials / 04

Tools of the trade.

Power BIDAXPower QuerySQLPythonExcelMicrosoft FabricAWSSharePointPower Automate
Microsoft CertifiedFabric Analytics Engineer Associate
AWS CertifiedSolutions Architect — Associate
Master of ScienceManagement Information Systems

Let's connect / 05

Have a data problem?
Let’s make it clear.

Available for Power BI, reporting and data analyst opportunities in Houston, hybrid or remote.

Start a conversation ↗ejibiri@gmail.comConsumer Complaint Intelligence on GitHub ↗