Algorithmic Redlining and the GDPR: The Legal Reality of Automated Financial Pipelines
When engineering automated data pipelines for the financial sector, the conversation naturally gravitates towards computational speed and predictive accuracy. At Radix Private Markets, processing near
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Founder of Radix | Automating financial spreading and off-market deal origination for M&A professionals.
Founder of Radix Private Markets, automating off-market M&A deal origination. MSc Data Science student building fintech infrastructure. My work is focused on eliminating hours of manual analysis by autonomously converting raw Companies House statutory filings into structured three-statement models in seconds. By automating the entire due diligence pipeline, from programmatic whole-of-market monitoring to generating interactive, investment-committee-grade dossiers, I enable M&A professionals to bypass data entry and focus entirely on closing deals. Currently pursuing an MSc in Computer Science with Data Science, this journal documents the underlying engineering behind these execution modules, bridging rigorous academic research with commercial FinTech architecture.
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