Portfolio of business intelligence, data analytics, and data engineering projects focused on turning operational data into clear, actionable insights.
View the portfolio: yeinier-personal-portfolio.netlify.app
I am a Business Intelligence professional focused on dashboard development, data modeling, KPI design, and data transformation. My projects demonstrate how I use Power BI, DAX, Power Query, SQL, and Python to analyze business performance and communicate findings clearly.
An executive Power BI dashboard for monitoring emergency-department demand, patient flow, staffing, operational efficiency, and financial performance.
- Operational, workforce, and financial KPIs
- Patient-volume and wait-time analysis
- Executive overview with drill-down report pages
View Power BI report · View repository
A Python data pipeline that extracts, validates, transforms, and stores more than 85,000 airport records for reporting and analysis.
- Automated extraction and transformation workflow
- Data-quality validation and structured logging
- Parquet and SQLite outputs prepared for analytics
An interactive Power BI report for understanding customer demographics, financial health, transaction behavior, and card activity.
- Customer segmentation and demographic analysis
- Debt, balance, and financial-risk indicators
- Transaction and card-performance reporting
A Power BI case study analyzing pharmaceutical sales performance across products, customers, teams, and geographic markets.
- Revenue and product-performance KPIs
- Customer and sales-team analysis
- Geographic and period-over-period comparisons
- Power BI dashboard development
- DAX measures and KPI design
- Power Query and data transformation
- Data modeling and analytical storytelling
- SQL-based analysis
- Python ETL development
- Data validation and reporting automation
Use the contact form on the portfolio website or connect with me through the professional links provided there.
This repository contains the source code for the portfolio website. The website is the presentation layer for the business intelligence projects documented above.