Alexander Ekman is a Senior Customer Insight Analyst based in Stockholm with nine years of experience translating large-scale scientific data workflows into actionable customer analytics. Trained as a particle physics PhD, he brings deep expertise in big-data processing, statistical modeling, and machine learning from projects at CERN and the ATLAS experiment, including leading an open-source ML-based data compression effort. At Nordea he builds customer segments, models, and automated 1-to-1 campaign solutions, leveraging production-ready skills gained running distributed compute jobs, containerized pipelines, and hardware+software products. Comfortable moving between C++, Python, Bash and deployment packaging, he combines rigorous experimental methods with pragmatic product delivery and a track record of cross-disciplinary collaboration with industry partners.
9 years of coding experience
4 years of employment as a software developer
International Baccalaureate, Bilingual diploma, International Baccalaureate, Bilingual diploma at Katedralskolan, Skara
Doctor of Philosophy - PhD, Elementary Particle Physics, Doctor of Philosophy - PhD, Elementary Particle Physics at Lund University
Master of Science - MS, Elementary Particle Physics, Master of Science - MS, Elementary Particle Physics at Lunds universitet
Contributions:124 PRs, 161 pushes, 9 branches in 17 days
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Alexander Ekman - Senior Customer Insight Analyst at Nordea