Christopher Cochet is an analytics and platform engineer who blends a software-engineering foundation with a decade of consulting experience to build data solutions that drive product and business decisions. Currently at Canva, he focuses on delivering insights and scalable data platforms that enhance creative products and user outcomes. He is proficient across the modern data stack—SQL, Spark, dbt, Snowflake/Databricks, Python tooling and MLOps—and has a track record of moving models and analytics into production. His background in management consulting and an MBA gives him unusual dexterity translating strategic business needs into technical requirements and measurable impact. Christopher pairs formal training in telecom and computer science with nanodegrees in data and ML, and mentors others through hands-on projects hosted on his GitHub. Based in Wellington, he thrives at the intersection of analytics, product and cloud engineering, often focusing on how design outputs create real-world value.
7 years of coding experience
12 years of employment as a software developer
Nano Degree Data Science, Nano Degree Data Science at Udacity
BS Computer Science, BS Computer Science at Aix-Marseille University
MS Information Systems Telecommunications, MS Information Systems Telecommunications at IMT Atlantique (Télécom Bretagne)
MBA Management Consulting Operations Strategy Finance, MBA Management Consulting Operations Strategy Finance at Georgetown University McDonough School of Business
School of Foreign Service Landegger Program - International Business Diplomacy, School of Foreign Service Landegger Program - International Business Diplomacy at Georgetown University Walsh School of Foreign Service
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