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ivanediazm/README.md

Hi, I'm Iván Díaz 👋

Data Analyst

I am a data analyst focused on transforming data into clear, actionable insights that support business decision-making.

My background in operations, logistics, inventory management, and continuous improvement allows me to combine business experience with data analysis to identify patterns, optimize processes, and solve real-world problems.

🛠️ Technical Skills

  • Python: Pandas, NumPy, Matplotlib, Seaborn, SciPy
  • SQL
  • Power BI
  • DAX
  • Power Query
  • Excel
  • Google Sheets
  • Descriptive Statistics
  • Correlation Analysis
  • A/B Testing
  • Data Cleaning & Visualization

📊 Featured Projects

🚦 Urban Mobility & Economic Analysis

Exploratory analysis of traffic congestion and economic productivity across Latin American cities, focused on identifying mobility patterns, outliers, and infrastructure-related insights.

Tools: Python, Pandas, Matplotlib, Seaborn
🔗 View Project

📈 Regional Sales & Profitability Analysis

Interactive Power BI analysis of revenue, profitability, product performance, customer concentration, and regional sales trends, with business recommendations focused on margin improvement and commercial diversification.

Tools: Power BI, DAX, Power Query, Excel
🔗 View Project

📱 ConnectaTel Customer Behavior Analysis

Customer segmentation and usage analysis for a telecommunications company, focused on behavioral patterns, plan usage, outlier detection, and customer retention opportunities.

Tools: Python, Pandas, NumPy, Matplotlib, Seaborn, Google Colab
🔗 View Project

🛒 NovaRetail Customer Correlation Analysis

Exploratory statistical analysis of customer behavior to identify the variables most strongly associated with annual revenue, including correlation, collinearity, and categorical association analysis.

Tools: Python, Pandas, NumPy, Matplotlib, Seaborn, SciPy, Google Colab
Methods: Pearson, Spearman, Point-Biserial Correlation, Cramér's V
🔗 View Project

🎯 Currently

  • Building data analytics projects with real-world business applications
  • Strengthening my skills in Python, SQL, Power BI, and statistical analysis
  • Expanding my portfolio with projects focused on customer behavior, business intelligence, and decision-making
  • Applying my previous experience in operations and logistics to data-driven problem solving

📫 Connect with me

Pinned Loading

  1. regional-sales-powerbi-analysis regional-sales-powerbi-analysis Public

    Power BI sales analysis across multiple regions, focused on revenue, profitability, product performance, and customer insights.

  2. urban-mobility-economic-analysis urban-mobility-economic-analysis Public

    Exploratory data analysis to identify relationships between urban traffic patterns and economic productivity across cities.

    Jupyter Notebook