Christine Doig-cardet is a product leader with 12 years of experience building personalization and data-driven products across top-tier tech companies, currently leading Personalization at Spotify from Barcelona. She has driven creative personalization and inbox product strategy at Netflix and Google, and briefly served as Chief Product Officer at a health-tech startup, showing an ability to shift between scale and scrappy early-stage contexts. With a strong data science and engineering foundation (Master’s in Data Science and contributors to notable open-source projects like Bokeh and Blaze), she blends hands-on technical fluency—from front-end analytics instrumentation to cross-backend data operations—with product vision. Her open-source work on Bokeh improved interactive visualization UX and analytics tracking, and contributions to Blaze reflect deep experience with split-apply-combine semantics across SQL, Mongo, Pandas, and Spark. Known for turning complex algorithmic personalization into usable creative experiences, she pairs rigorous quantitative rigor with practical go-to-market sensibilities. Based in Barcelona, she combines European engineering roots with global product leadership at scale.
12 years of coding experience
11 years of employment as a software developer
Master's thesis Analysis on Voltage Stability Indices, Master's thesis Analysis on Voltage Stability Indices at RWTH Aachen University
Interactive Web Plotting with Bokeh in IPython notebook
Role in this project:
Front-end Developer
Contributions:15 commits, 1 push in 7 months
Contributions summary:Christine primarily contributed to the front-end components of the Bokeh notebooks project. They implemented Google Analytics tracking to the front page. Additionally, the user worked on removing duplicate examples and updating tutorial files. The changes include modifications to the index and tutorial notebooks, indicating a focus on improving the user experience and documentation of the project.
Contributions:28 commits, 3 PRs, 1 push in 1 year 2 months
Contributions summary:Christine primarily contributed to the core functionality of the Blaze library, specifically focusing on the "by" operation, a crucial split-apply-combine function within the library. Their commits demonstrate modifications across multiple compute backends, including SQL, MongoDB, Pandas, and Spark, suggesting work on a generalized core feature. They made adjustments to the API and internal implementations related to how "by" functions, and associated tests, highlighting a focus on ensuring consistent behavior across various data processing platforms supported by Blaze.
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Christine Doig-cardet - Director Of Product, Personalization