Sohier Dane is an experienced data scientist with 11 years blending applied ML, product analytics, and financial modeling across tech and energy sectors. He spent several years on Kaggle’s team at Google, launching high-profile competitions and shaping developer relations around data challenges. His background includes rigorous data-cleaning and public dataset work, fraud and forecasting model breakthroughs, and building production-ready analytics that informed billion-dollar investment decisions. Early career roles in renewable project finance honed his quantitative rigor and automated reporting tools, while startups and consulting sharpened his end-to-end delivery instincts. Based in Seattle, he pairs a biology BA from Northwestern with deep practical expertise in SQL, Python/Pandas, and data platform workflows. An underappreciated strength is his knack for uncovering subtle data leakage and operationalizing fixes that materially improve model reliability.
11 years of coding experience
11 years of employment as a software developer
High School, High School at The Overlake School
Bachelor of Arts (BA), Biology, General, Bachelor of Arts (BA), Biology, General at Northwestern University
Contributions:160 pushes, 1 branch in 1 year 3 months
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