Shubham Goyal is a Senior Data Scientist with 7 years of experience building AI-driven solutions for banks, fintechs and government authorities across the UK, Japan, APAC, Middle East and the US. He specializes in AML, fraud detection, compliance and risk analytics, with a proven track record—leading Barclays projects that stopped over £230k/month in fraud and delivering GenAI/OCR systems at Presight that automated 75%+ of manual reviews with 90%+ extraction accuracy. Hands-on with LLMs, PySpark and production tooling (FastAPI, Docker, FAISS), he designs scalable document analytics and automation platforms that turn regulatory pain points into measurable operational gains. A practical mentor and problem-solver, he blends academic training (Stanford ML certificate) with pragmatic engineering to ship high-impact ML systems across regulatory and financial domains. Notably, he pairs deep domain expertise in financial crime with a passion for GenAI, routinely applying LLMs to streamline compliance workflows.
7 years of coding experience
6 years of employment as a software developer
Intermediate Non-medical science, Intermediate Non-medical science at Bohra Public School
Bachelor of Technology (BTech) Computer Science Data Sceience, Bachelor of Technology (BTech) Computer Science Data Sceience at Lovely Professional University
certificate Machine Learning, certificate Machine Learning at Stanford University
Contributions:8 commits, 6 pushes, 1 branch in 11 months
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