Abdulrhman bin Shuhaywin

Data Analyst · Dashboards, reporting, and data automation

I turn raw data into clear insights. My work covers interactive dashboards, sales and performance analysis, and automated workflows that clean data and deliver reports without manual steps.

Power BI
DAX
Power Query
Excel
Python
n8n

Project 1: Car Sales Analytics Dashboard

AnalyticsPower BI

An interactive dashboard that tracks car sales performance and helps identify the drivers of revenue.

What it shows

Sales KPIs with month-over-month comparison.
Weekly sales trend.
Sales by dealer region, manufacturer, body style, and color.
Interactive filters for dynamic analysis.

How it was built

Data was prepared with Power Query, modeled for reporting, and measures were written in DAX.

Car sales dashboard overview with total sales, average price, cars sold, weekly trend, and sales by body style and color. — Overview: headline KPIs, weekly trend, and sales mix.

Car sales dashboard detail view with a transaction table and company sales trend. — Details: transaction-level records and sales by company.

Project 2: Sales Analytics Report

AutomationAnalytics

Upload a sales Excel file and receive an analytics report by email in seconds. The tool detects the relevant columns automatically, so no setup is needed.

What it reports

Total sales, record count, average per record, and commission total.
Latest month, month-over-month change, and daily run rate.
Monthly trend for the last 12 months.
Top categories, cities, sales channels, and payment methods, with each share of total.
Data quality notes: rows with missing values or invalid dates.

The workflow can be extended to process multiple files at once.

Sales Analytics upload screen where a sales Excel file is uploaded. — Step 1: upload a sales file.

Sales analytics dashboard with total revenue, records, average value, daily run rate, growth, and product performance. — Step 2: the report summarizes revenue, growth, and performance.

Try the tool

Sample file for the trial

Sales data 2025-2026500 fictional car insurance sales records with dates, regions, channels, and premiums.
Sample file available on request.

Project 3: Excel Data Cleaner

AutomationData Quality

Upload an unsorted Excel file and a reference template. You receive a clean file that matches the template's columns and order.

What it does

Matches columns by name, in Arabic or English.
Splits names and phone numbers that sit in one merged column.
Standardizes Saudi phone numbers to +966 format.
Standardizes dates to YYYY-MM-DD, including dates written as text in Arabic or English.
Standardizes city names to English and fixes common abbreviations.
Removes empty and duplicate rows, and clears placeholder values such as N/A.

Excel sheet before cleaning, with merged name and phone columns, next to the same data after cleaning, with separate columns and a consistent format. — Before and after: merged columns are split, and dates and phone numbers are standardized.

Data Cleaner upload screen with fields for raw data and the clean reference file. — Upload the raw file and the reference template.

Processing dashboard showing the number of rows processed, the changes made, and a cleaned data preview. — Processing dashboard with a summary of every change.

Try the tool Order

Sample files for the trial

Unsorted dataMessy source file with merged name and phone columns.
Sample file available on request.

Reference templateThe target layout the output should follow.
Sample file available on request.

Upload both files in the trial form. Sample data is fictional.

Try the online tools

Use a sample file, or your own Excel file (.xlsx).
Open the trial form, upload the file, and enter your email address.
Check your inbox for the result: the cleaned file for the Data Cleaner, or the analytics report for the Sales tool.

Contact

For orders or questions, use the order form linked in the Excel Data Cleaner section.