Nicholas Coeytaux is an investment banking analyst based in the New York City area with eight years of experience blending quantitative rigor and practical execution across finance and data roles. A Colgate student of mathematics and economics who augmented his toolkit with computer science and Harvard Business School Online coursework, he brings strong Python, SQL and Excel skills to complex financial modeling and data-driven deal work. At BNP Paribas he progressed from summer analyst to full-time analyst, demonstrating an ability to learn quickly and lead projects under tight timelines. His background includes RPA consulting and data product analysis, reflecting a rare combination of process automation instincts and product-oriented data insight. Colleagues describe him as an analytical critical thinker and dependable problem-solver who pairs classroom theory with hands-on delivery.
A framework for developing soft-consensus DApps on the Steem blockchain
Contributions:28 commits, 1 PR, 19 pushes in 1 year 4 months
blockchainconsensussteemsteem-blockchaindapp
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