portafolio_data — Data Analytics & Data Science Collection

A comprehensive collection of Python scripts, notebooks, and pipelines engineered for exploratory data analysis (EDA), data wrangling with Pandas, and extracting actionable statistical insights.

Key Features

• 🧹 ETL Data Cleaning & Transformation: Normalization of heterogeneous datasets using Python.
• 📈 Exploratory Data Analysis (EDA): Statistical visualization and pattern identification.
• 🛢️ Advanced Analytical Queries: Embedded SQL queries for large-scale data aggregation.

Technologies

Built with Python, Pandas, NumPy, Matplotlib / Seaborn, and SQL.