📊 Data Analyst focused on Business Insights, Automation and BI 🎓 Background in Information Systems 💡 I transform data into actionable insights using Python, SQL and Power BI
- 📈 Experience in data analysis and process automation, reducing report generation time by up to 50% using Python
- 📊 Development of interactive Power BI dashboards to monitor KPIs and support decision-making
- 🧩 Strong background in Exploratory Data Analysis (EDA), data cleaning and data modeling
- 🧠 Applied experience with customer segmentation (RFM analysis) and business-oriented analytics projects
- 🔄 Familiar with ETL processes, SQL queries and data pipelines
I enjoy working close to the business to turn raw data into insights that drive better decisions.
➡️ Check my main projects focused on Sales, Marketing and Customer Analytics 📁 Repositories include:
- Sales Transactions Analysis
- Marketing ROI Analysis
- Customer Segmentation (RFM)
- Data Analysis & EDA
- Business Insights & KPIs
- Power BI & Dashboards
- Data Visualization
- Python (Pandas, NumPy)
- SQL
- Data Wrangling & Data Cleaning
- Automation & Reporting
- ETL & Data Pipelines
- Applied Machine Learning (Regression, Clustering)
- Web Scraping
- Improving advanced SQL and Power BI modeling
- Exploring Machine Learning applications for analytics use cases
⚠️ Note: Advanced AI, Mojo and HPC are personal study topics and not my main professional focus.
- 🎯 Game data analysis and pattern exploration
- 📚 Fiction, manga and geek culture
- 🧠 Logical and mathematical challenges