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data-quality-analysis

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Sumeh — Unified Data Quality Framework Sumeh is a unified data quality validation framework supporting multiple backends (PySpark, Dask, Polars, DuckDB, Pandas) with centralized rule configuration.

  • Updated Jul 21, 2026
  • Python

Free, local health check for dbt projects. Finds cost, data quality, security and code issues in your models — no warehouse connection, no credentials, no signup.

  • Updated Aug 6, 2026
  • Python

Data ETL & Valuation Pipeline that normalizes crawled laptop listings, parses hardware specifications using declarative JSON rules, and computes dynamic configuration and value-for-money scores.

  • Updated Jun 18, 2026
  • Python

Interactive Excel dashboard analysing 307,973 UK road traffic accidents (2021–2022) across 422 districts. Covers severity, temporal, infrastructure and environmental risk factors with cross-filtering slicers. Documents a data coverage gap affecting year-on-year comparison, with a full PowerPoint report included.

  • Updated Aug 26, 2026

This repository showcases my project completed during the KPMG AU Virtual Internship by Forage. I had the opportunity to take the mystery out of big data and learn what it's like to produce business results with the KPMG data analytics team. I am excited to share my learnings and the outcomes of this enriching internship.

  • Updated Nov 27, 2023

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