You will get a fully cleaned structured Excel file with pivot analysis and dashboard

Sahpal S.Status: Offline
Sahpal S. Sahpal S.
Rising Talent

Let a pro handle the details

Buy Data Entry & Cleaning services from Sahpal, priced and ready to go.
Sahpal S.Status: Offline
Sahpal S. Sahpal S.
Rising Talent

Let a pro handle the details

Buy Data Entry & Cleaning services from Sahpal, priced and ready to go.

Project details

I will clean, analyse and visualise your Excel data
so it is ready to use for reporting and decision making.

What I deliver:
 • Duplicate removal and blank handling
 • Date and format standardisation
 • Calculated columns (margins, growth, ratios)
 • Pivot tables by category, time period or segment
 • Advanced formulas: XLOOKUP, INDEX MATCH, SUMIFS, IF
 • KPI dashboard with revenue, profit and trend charts

I have built a full end-to-end Excel project on the
Global Superstore dataset (1,000+ rows) covering all
of the above — see my portfolio for the full example.

GitHub: github.com/sahpalsingh3-dot/excel-data-analysis-global-superstore

If you are not sure what you need, message me first
and I will advise.
Data Tool
Microsoft Excel
What's included
Service Tiers Starter
$50
Standard
$100
Advanced
$175
Delivery Time 2 days 3 days 4 days
Number of Revisions
123
Sahpal S.Status: Offline

About Sahpal

Sahpal S.Status: Offline
Data Analyst and Power BI Developer - SQL, Python, Excel, MSc Maths
Glasgow, United Kingdom - 10:23 pm local time
I help businesses turn raw data into clear, actionable insights using Power BI, SQL, Python, and Excel.
I am a UK-based data analyst with an MSc in Applied Mathematics from the University of Dundee. I build end-to-end reporting solutions — from cleaning raw data with Python (Pandas) through SQL database queries to interactive Power BI dashboards with DAX measures and KPI tracking.
What I can deliver for you:
▸ Power BI dashboards — data modelling, DAX, time intelligence (YTD, MoM), KPI cards, interactive slicers
▸ SQL reports — joins, CTEs, RANK(), LAG(), GROUP BY, clean data extraction
▸ Excel workbooks — pivot tables, XLOOKUP, data cleaning, automated KPI reports
▸ Python data cleaning — Pandas, combining multiple files, EDA with Matplotlib and Seaborn
I have built real projects including a regional sales performance dashboard tracking £1.49M revenue across regions, both documented on GitHub.
I deliver clean, well-documented work on time with clear communication throughout. If you have a data problem you need solving, send me a message and I will tell you exactly how I would approach it.

Steps for completing your project

After purchasing the project, send requirements so Sahpal can start the project.

Delivery time starts when Sahpal receives requirements from you.

Sahpal works on your project following the steps below.

Revisions may occur after the delivery date.

Review and assess your data

I review your file, check for duplicates, blanks, formatting issues and confirm the scope before starting

Clean and prepare the data

Remove duplicates, fix blanks, standardise dates and formats, add calculated columns where needed

Review the work, release payment, and leave feedback to Sahpal.