Arham Intesar Data Analyst & AI Builder

Bridging the gap between economic insight, clean analytics, and working code.

I’m Arham, an economist and data analyst who uses AI to build the technical tools that traditional analysts usually have to wait on engineers for.

I collect hard-to-find data using custom scrapers, clean and visualize it in Excel, SQL, and Power BI, and build lightweight web applications and automated workflows that save teams hours of repetitive grunt work.

 GET /wp-json/wp/v2/media?search=SPI&per_page=100 -> 200 (481 files)
  SPI_AnnexUSCP_06072023.pdf  ANNEX202620USCP2002.05.2024.pdf  Annex.pdf
2Rice Basmati Broken (Average Qualit1y )Kg 260.00 274.83
     {"week":"06-07-2023","city":"ISB ","item":"Atta","price":"2,933"}
   <td>Tomatoes</td><td>Kg</td><td>  11.45 </td><td></td><td>NaN</td>
   WARN V4 city_outlier Larkana Tomatoes 11.45 vs median 60.00 (0.19x)
 10Powdered Milk NIDO 390 gm PolybaEgach 1100.00 1,100.00
"mcid":214,"bbox":[72.1,340.6,118.9,352.2],"text":"Chilli Pow"
Wheat Flour Bag 20 Kg   2794.11  2,786.97   n/a   2669.99
INFO V11 previous-week index revised +2.04 pts (Q1, 2025-11-27)
   date,city,item,unit,price
06/07/23,Hyd,Atta,20 Kg,3340
,,
    Tomatoes  Kg  77.94  72.99  99.31  118.88  138.91  140.58
  <p class="has-text-align-center"><a href="SPI-06-07-2023.pdf">SPI
      {"q1":"28.92","q5":"29.36","combined":null,"spi":"257.79 "}
      missing: 7 consecutive weeks (late 2024) - not on the PBS site
LPG Cylinder 11.67 Kg  3082.58  3,082.58  3O82.58
 Bananas (Doz.)  172.48  151.48  138.85  131.41  131.86
    TypeError: float() argument must be a string or a real number, not NoneType
    <tr><td>Islamabad</td><td>111.31</td><td></td><td>null</td></tr>
  ERR 404 report link moved - retry via media API (2/5)

pbs_spi.parse()Validated

Prices parsed141,321

Basket since Jul ’23+45.3%

Kitchen inflation, year on year 12.3% 40% 0

Same basket	Index	vs average
Islamabad	111.3	+11.3%
Rawalpindi	108.2	+8.2%
Karachi	107.0	+7.0%
Sargodha	90.9	−9.1%

What I do

Data Analysis & BI

SQL · Python · Power BI · Excel

From messy, raw datasets to clear commercial decisions: cleaning, modeling, and visualizing what actually drives the numbers.

Modeled global maritime trade flows and freight economics to support $100M+ charter deals at DeepSeas.
Built interactive Power BI dashboards to track SaaS acquisition funnels and A/B test performance.
Turned complex supply-and-demand data into weekly intelligence reports for international energy majors.

Scrapers & Automation

Python · Pipelines · Workflows

If data is locked behind messy web pages or a workflow takes hours of manual copy-pasting, I write the scripts to automate it.

Built custom Python scrapers to extract and structure live competitor, real estate, and market data.
Automated recurring data-cleaning and validation pipelines, replacing manual spreadsheet grunt work.
Connected raw scraped data directly into structured databases and reporting trackers.

AI Web & Tool Building

Websites · Internal Tools · Daily

AI is core to how I work: I use it to move fast and ship working software, not just static reports.

Designed and shipped full websites, landing pages, and lightweight web apps with AI, this site included.
Trained and stress-tested AI models on complex graph interpretation and logical reasoning.
Turn analytical models into interactive tools and calculators that teams can actually use.

Projects

Featured Projects

Featured project · Real estate · Web scraping Zameen Price Map Every house and plot for sale in four cities, scraped in fifteen minutes and turned into price per marla by neighbourhood, with a live map. View project →

Featured project · Inflation · PDF pipeline Kitchen Inflation A weekly pipeline that parses 163 weeks of government price PDFs: which city pays most, who inflation hit hardest, and what Ramadan does to prices. View project →

All projects All posts