DATA PREPARATION
Repetitive cleaning & transformation
Automate recurring steps such as reshaping files, standardising columns, joining datasets and preparing inputs for analysis.
Data & Reporting Automation.
I build reusable workflows that automate repetitive data preparation, transformation and reporting tasks, reducing manual work and making recurring outputs easier to reproduce.
Python
R
SQL
Excel
Power BI
Data Pipelines
Reusable Workflows
Reporting
THE PROBLEM
Repeating the same data work by hand is expensive.
Many recurring tasks still depend on manual downloads, spreadsheet updates, copy-paste steps and repeated calculations. I turn those routines into clear, reusable workflows that reduce repetitive effort while keeping the logic transparent and controllable.
WHAT I CAN AUTOMATE
From repetitive file handling to recurring analytical outputs.
REPORTING
Recurring analytical outputs
Turn repeated calculations, summaries and reporting routines into workflows that can be refreshed with new data.
FILE & DATA FLOWS
Move data through repeatable steps
Consolidate exports, process batches of files and move information between structured formats without rebuilding the process each time.
QUALITY CHECKS
Repeat the checks, not the effort
Automate recurring validation rules, completeness checks and exception flags so problems can be surfaced consistently.
HOW I WORK
From a manual routine to a workflow that can be run again.
01
MAP THE PROCESS
Understand what is currently being repeated.
Break the task into concrete inputs, transformations, decisions and outputs before deciding what should be automated.
02
STANDARDISE THE LOGIC
Turn informal steps into explicit rules.
Define the calculations, transformations, file conventions and checks that need to behave consistently from run to run.
03
AUTOMATE THE WORKFLOW
Connect the steps into a reusable process.
Implement the workflow in Python, R, SQL or an appropriate combination of tools depending on the task and existing setup.
04
VALIDATE & HAND OVER
Make the result dependable and understandable.
Test the output, add sensible checks and provide a workflow that can be rerun without reconstructing the logic from scratch.
TYPICAL PROJECTS
When a useful process already exists, but too much of it still depends on manual repetition.
01
RECURRING REPORT GENERATION
Refresh the analysis without rebuilding it every time.
Automate repeated calculations, summaries and output preparation so recurring reports can be regenerated from updated data with substantially less manual intervention.
02
SPREADSHEET & FILE AUTOMATION
Replace repetitive file handling with a consistent workflow.
Consolidate recurring exports, rename or restructure fields, process multiple files and produce standardised outputs without repeating the same sequence manually.
03
AUTOMATED DATA QUALITY CHECKS
Surface recurring data problems systematically.
Apply repeatable validation rules to incoming or updated datasets and flag missing values, invalid formats, duplicates or other exceptions that need attention.
04
END-TO-END DATA WORKFLOWS
Connect collection, preparation and output into one process.
Combine several recurring steps—such as loading new data, transforming it, checking it and producing an analytical output—into one coherent workflow.
HAVE A DATA PROBLEM?
Let’s figure out what can be done with it.
Tell me what you are trying to collect, clean, understand or automate. I can help turn it into a concrete analytical project.