Adrián P.

I help businesses turn messy datasets and spreadsheets into clean, reliable, analysis-ready data. If your dataset contains duplicates, missing values, inconsistent formats, or poorly structured spreadsheets, I can clean, standardize, and prepare it for reliable analysis and reporting. I’m a PhD Chemical Engineer with a strong background in analytical methods and scientific data validation. I apply the same rigor used in scientific research to ensure that your data is accurate, consistent, and reproducible. What I can help you with: DATA CLEANING & PREPARATION ▪️ Cleaning messy Excel / CSV datasets ▪️ Handling missing values and inconsistent formats ▪️ Detecting duplicates and anomalies ▪️ Standardizing variables and data formats ▪️ Preparing datasets for analysis or dashboards DATA VALIDATION ▪️ Creating validation rules ▪️ Detecting data integrity issues ▪️ Building reproducible data cleaning workflows DOCUMENTATION ▪️ Clear data dictionaries ▪️ Structured datasets ready for analysis ▪️ Reproducible workflows using Jupyter notebooks TOOLS I USE ▪️ Python (Pandas, NumPy) ▪️ Excel ▪️ CSV / Parquet ▪️ Jupyter Notebooks TYPICAL PROJECTS: ▪️ Cleaning and restructuring large Excel datasets ▪️ Preparing datasets for dashboards or data analysis ▪️ Building reproducible data cleaning pipelines ▪️ Creating data dictionaries and data quality reports My goal is simple: deliver clean, reliable data that you can confidently use for analysis and decision-making.