MBS Mohammed Baobaid
Services Data cleaning and reporting automation
04 / Service

Data Cleaning and Reporting Automation

I help turn repeated spreadsheet work into cleaner data flows: structured sources, documented assumptions, automated preparation, and reports that are easier to refresh.

Data Cleaning and Reporting Automation preview card

Best fit

  • Students or teams working with messy Excel exports
  • Managers who need cleaner recurring reports
  • Projects that need SQL, Excel, and dashboard-ready data preparation

Deliverables

Data cleanup and validation steps
Excel or SQL reporting structure
Repeatable refresh and export process
Documentation for assumptions, fields, and calculations

How the work moves

01

Audit the source

We inspect the raw files, missing values, inconsistent fields, repeated columns, and manual steps.

02

Build the clean path

Cleaning rules, joins, calculations, and outputs are structured so the flow can be repeated.

03

Make reporting repeatable

The final report process is documented and checked so future refreshes are easier and less risky.

Expected outcomes

  • Less time spent rebuilding the same report manually
  • Cleaner source logic that makes dashboards easier to trust
  • A documented data path that can be reused or handed off

Tools and proof points

Excel SQL Data Cleaning Data Modeling Reporting Automation

Related case studies

Common questions

Can you start from messy spreadsheets?

Yes. A lot of valuable analytics work starts with inconsistent exports, missing values, manual merges, and unclear definitions.

Do you only build dashboards?

No. I also help with the preparation layer before the dashboard, including cleanup, structure, calculations, and refresh logic.

Want this kind of help?

Send a short note about the system, dashboard, or workflow you want to improve.

Contact Mohammed