Python pipelines, data extraction tools, and automated reporting workflows that make data collection scalable and analysis fully reproducible.
Automated data pulling and report generation for 18 industry profiles, processing 2M+ rows of data. Built a scalable data pipeline that reduced reporting time from approximately one month to a single execution — a 95%+ efficiency gain — while improving consistency and reliability.
Coming SoonAutomated the extraction and processing of 5M+ rows of Indigenous statistical data used in multiple recurring analytical reports, reducing reporting time by 90%+.
Coming SoonAutomated the extraction and cleaning of 1M+ rows of greenhouse gas emissions data used in a GHG analytics dashboard. The workflow fully automated the data refresh pipeline for a dashboard requiring annual updates, eliminating manual data collection and ensuring reproducible updates each reporting cycle.
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