Alexander Ekman
Senior Customer Insight Analyst at Nordea
Stockholm, Sweden
Summary
👤
Senior🎓
Top SchoolAlexander 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, SkaraDoctor of Philosophy - PhD, Elementary Particle Physics, Doctor of Philosophy - PhD, Elementary Particle Physics at Lund UniversityMaster of Science - MS, Elementary Particle Physics, Master of Science - MS, Elementary Particle Physics at Lunds universitetUniversity of California, Irvine
English, Swedish
Github Skills (17)
particle-physics10
computational-fluid-dynamics10
machine-learning9
compression9
splines8
smoothing8
helios8
interpolation7
bspline7
matlab6
python5
cpp4
function-approximation2
pyinstaller1
convolution1
Programming languages (4)
Github contributions (5)
baler-collaboration/baler
Dec 2022 - Mar 2024
Repository of Baler, a machine learning based data compression tool
Contributions:30 reviews, 49 PRs, 89 pushes in 1 year 3 months
compressionmachine-learningcomputational-fluid-dynamicsparticle-physics
exook/a_team
Oct 2017 - Nov 2017
Contributions:124 PRs, 161 pushes, 9 branches in 17 days
smhidata-analysispythonmachine-learningteam-a
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