Manual Reports
Repeating the same spreadsheet steps every day, week, or month wastes time and increases the chance of human error.
I build Python tools that automate repetitive Excel and CSV workflows: report generation, data cleaning, spreadsheet processing, summaries, and reusable business automation scripts.
Repeating the same spreadsheet steps every day, week, or month wastes time and increases the chance of human error.
Raw exports often contain inconsistent columns, empty rows, duplicated values, invalid dates, and formatting issues.
Manual copy/paste between files is slow, fragile, and difficult to scale when the number of files increases.
Python scripts that read raw data, calculate metrics, create grouped summaries, and export clean Excel reports with multiple sheets.
Tools that standardize column names, remove bad rows, detect missing values, deduplicate records, and prepare data for reporting or import.
Scripts that process many Excel or CSV files at once, combine data, apply rules, and generate one final output.
Clean Python scripts with documentation so the same reporting workflow can be reused without rebuilding everything manually.
I review the current Excel/CSV files, the manual steps, the expected output, and the business rules that must be preserved.
I create a Python script that reads the source files, validates the data, applies cleaning rules, calculates summaries, and generates the final output.
I test the script with sample data and edge cases to make sure missing columns, invalid rows, and formatting problems are handled clearly.
I provide the script, sample input/output, and a short README so the workflow can be run again when needed.
A portfolio-ready Python project that cleans CSV/Excel data and generates a multi-sheet Excel report.
View RepoA practical article explaining how Python can automate Excel and CSV reporting workflows.
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View ProjectsSend the current file structure, the manual steps, and the expected final output. I can help turn the workflow into a clean Python automation script.