UK-based • PhD • data consultant

From messy spreadsheets to clean, automated dashboards.

We help accountants and SMEs fix broken Excel/CSV files, standardise VAT & dates, automate ETL, and surface clear insights in Power BI. Fast turnarounds. Fixed-fee pilots.

2‑min demo
Watch how the workflow works end‑to‑end
10+ yrs
Python • SQL • Power BI • OCR/PDF parsing
PhD
Physics & Engineering • Ex‑data science lead
Email: badar@datagods.co.uk | Book a call: Calendly | LinkedIn: Badar Ahmed PhD

Short demo: Cleaning messy files → automated Power BI dashboard.

Short demo 2: Merging datasets: cleaning and merging five CSVs with mixed date formats into one consistent dataset.

Short demo 3: Python Dashboard Demo (Streamlit)

A short walkthrough showing how Datagods builds fully interactive dashboards directly in Python using Streamlit and Plotly — an open-source alternative to Power BI, perfect for custom, license-free analytics.

Short demo 4: Python OCR Data Extraction (Invoices & PDFs)

Demonstration of Datagods’ OCR pipeline — turning scanned invoices and PDFs into clean, usable data with Python, Tesseract, and pandas.

Dashboard Screenshots

Heat map of product sales volumes by month Graphs of net VAT amounts by customer and product Example expense trend analysis

What We fix

Duplicate customers & inconsistent names

Standardise entities (e.g., “TESCO LIMITED” vs “Tesco Ltd”), roll‑up true totals.

Dates & amounts that won’t calculate

Normalise date formats; convert £1,000/“1000.00”/text to real numbers.

VAT separation & validation

Split Net/VAT, apply correct rates, surface VAT by customer/product.

Multi‑currency consolidation

Apply FX, report in GBP, keep audit trail to source currency.

PDF/OCR ingestion

Extract data from scans, supplier statements, bank PDFs via OCR/parsing.

Pipelines to dashboards

Automated ETL → clean tables → Power BI reports with refresh.

Services

Rapid Clean‑Up (Fixed‑Fee Pilot)
  • Clean one messy file (sales/expenses/VAT)
  • Deliver clean CSV + simple Power BI view
  • Turnaround: 3–5 days
Automation Build‑Out
  • ETL in Python/SQL + validation checks
  • Scheduled refresh (OneDrive/SharePoint/DB)
  • Power BI dashboards for owners & finance

How it works

  1. Discovery (15 min) — Show me a sample file and ideal outputs.
  2. Clean & prove — We tidy a subset, agree rules (VAT, dates, entities).
  3. Automate — Build repeatable pipeline; no more manual fixes.
  4. Dashboards — KPIs, trends, VAT views, dashboards and optional forecasting.

About

Dr Badar Ahmed — PhD in Physics & Engineering; 10+ years in data science & automation (Python, SQL, Power BI, VBA, Hadoop). Experienced with messy real‑world finance data, OCR, and operational reporting. UK‑based.

LinkedIn: /in/badar-ahmed

Tech stack

  • Python (pandas, OCR libraries), SQL
  • Power BI, DAX, Power Query (M)
  • ETL orchestration, validation, logging
  • XLS/CSV/XML/JSON/PDF ingestion

Get in touch

Email: badar@datagods.co.uk

Prefer a quick call? Book via Calendly