George Spyrou is a Senior Data Analyst with nine years of experience building data-driven solutions across consulting and tech, currently applying his skills at TikTok in London. He combines an MSc in Applied Statistics from the University of Michigan with hands-on expertise in Python, SQL, ETL pipelines, and rule-based risk detection developed during impactful roles at EY. George has led full-stack analytics projects that turn large, messy structured and unstructured datasets into operational risk indicators and clear visual narratives for non-technical stakeholders. His background includes research-focused signal processing and GUI work for NASA-related instrumentation, reflecting a rare mix of analytical rigor and applied engineering. Comfortable at the intersection of data science and software engineering, he consistently automates processes and optimizes execution to deliver scalable, auditable analytics.
9 years of coding experience
5 years of employment as a software developer
Master of Science (MSc), Applied Statistics, Master of Science (MSc), Applied Statistics at University of Michigan
London School of Economics and Political Science
Bachelor of Science - BS, Economics, Bachelor of Science - BS, Economics at University of Piraeus
Develop an API to retrieve statistics and information around Youtube trending videos. Perform descriptive statistics analysis, and build models able to project the likelihood of a trending video to become viral.
Contributions:6 reviews, 7 PRs, 464 pushes in 2 years 3 months
Develop an API to retrieve statistics and information from YoutubeVideos. Perform descriptive statistics analysis, and build models able to project the likelihood of a video to become viral.
Contributions:1 review, 12 PRs, 263 pushes in 11 months
apistatisticspythonpredictionviral
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