Andreas Häggström is a data scientist with nine years of experience applying economics, statistics and machine learning to customer analytics and business strategy across retail and financial services. He has driven CLV forecasting, customer behavior modeling and analytics roadmaps at H&M and now builds decision science solutions at Apoteket to translate complex models into commercial impact. Trained with a master's in economics and a study period in Japan, he combines rigorous econometric thinking with practical product-facing storytelling and visualization. His background in FX sales and corporate banking gives him an uncommon fluency in communicating risk and value to commercial stakeholders. Known for a curiosity-driven "page of hacks" on GitHub, he blends rapid prototyping with production-minded deployment to move insights into action.
9 years of coding experience
7 years of employment as a software developer
Ekonomi, Ekonomi at Umeå universitet
Hokkaido University, Japan
Master's degree Economics, Master's degree Economics at Stockholm University
Contributions:2 PRs, 30 pushes, 9 branches in 5 years 7 months
apipythonnad
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