Alawi Althuraya
العربيةع Get a quote

Data analysis and Power BI dashboards for your business

I turn your spreadsheets and sales into a clear dashboard that shows what sells and what lags, and analyse official market data to show where your city and trade are heading.

Get a quote on WhatsAppSee the work

What I deliver

  • Cleaning and preparation

    Excel, Power Query and Python: consistent columns, no duplicates, fixed dates and numbers.

  • An interactive Power BI dashboard

    Your KPIs on one page, with filters by period, branch and product.

  • SQL queries

    Your KPIs written as queries you can run on your own database.

  • Official market data

    From GASTAT and the Saudi Central Bank: property prices, spending and tourism.

  • A verification table

    Every number in the report is checked against its source, and the table of checks comes with it.

Made with AI, under my direction

Official Saudi data

GASTAT, Q3 2026

Where are Saudi property prices rising, and where are they falling?

  • General index ⁦+1.2%⁩ in a year
  • Residential plots ⁦+4.9%⁩, villas ⁦−7.7%⁩
  • Riyadh ⁦+4.6%⁩; prices fell in 10 of 13 regions

53 checks passed, none failed

  • Python
  • pandas
  • Excel
  • Power BI
Open the interactive dashboard

SAMA, 110 weekly reports

Where and when do people in Saudi Arabia spend?

  • SAR 736.8 billion in the latest 52 weeks (⁦+5.2%⁩)
  • Ramadan 2026: restaurants ⁦−22.2%⁩, clothing ⁦+89.8%⁩
  • Jeddah SAR 100.5 billion, second to Riyadh

81 checks passed, none failed

  • Python
  • pdfplumber
  • pandas
  • Power BI
Open the interactive dashboard

GASTAT, Q2 2026

Where do Saudi hotels fill up, and at what price?

  • Hotel rooms ⁦+13.2%⁩; occupancy ⁦51.0%⁩
  • Average hotel night SAR 563 (⁦−12.5%⁩)
  • Jeddah second of 16 cities for occupancy: ⁦54.4%⁩

57 checks passed, none failed

  • Python
  • pandas
  • Excel
  • Power BI
Open the interactive dashboard
Practice projectsHand-built

Power BI practice reports

Select an image to see it full size.

Pizza sales report

  • Power BI
  • SQL

A year of orders from a public pizza sales dataset: 21,350 orders, 49,574 pizzas sold and $817K+ in revenue, broken down by weekday, month, category and size. I also wrote the KPIs as SQL queries.

The KPIs as SQL queries

Grocery sales dashboard (BlinkIT dataset)

  • Power BI
  • Excel

$1.20M in sales across 8,523 items, compared by outlet type, outlet size, location tier, item type and fat content, with a filter panel.

HR analytics dashboard

  • Power BI

Attrition across 1,417 employees: 231 leavers and a 16.3% attrition rate, broken down by department, salary band, job role, age group, gender and experience.

Common questions

What data do I need to start?

An Excel or CSV export from your sales or accounting system is enough to start.

Do my data stay private?

Yes. I never publish a client’s data; the projects shown here use public and official data only.

What do “made with AI” and “hand-built” mean?

The official-data analyses run on AI-written Python pipelines under my direction that check every number; the Power BI practice reports I built by hand, step by step.

Let’s start on your business’s site

Tell me about your business and what you need, and I’ll reply on WhatsApp.

Or reach me directly

Opens WhatsApp with a ready message; nothing is stored on this site.

Open full size