Andrea Dal Pozzolo
Technical Product Lead - Senior Data Scientist
Biel/Bienne, Bern, Switzerland
Summary
👤
Senior🎓
Top SchoolAndrea Dal Pozzolo is a Technical Product Lead and Senior Data Scientist with over a decade of experience building ML-driven products and analytical teams across healthcare, finance, and consumer industries. With a PhD in Machine Learning and a track record from research labs to enterprise teams at Roche, Philip Morris and Credit Suisse, he combines rigorous statistical foundations with practical delivery of production-grade solutions. He has led teams, scaled fraud and anomaly detection systems, and translated business questions into measurable, deployable models—often surfacing value from underused data sources. Known for coaching remote data science teams and partnering closely with domain experts, he blends product leadership with hands-on modeling and deployment. Based in Biel/Bienne, Switzerland, Andrea brings an uncommon mix of academic depth and cross-industry execution, having moved seamlessly between research visits in the US and Europe and large-scale corporate implementations.
12 years of coding experience
8 years of employment as a software developer
University of BolognaDoctor of Philosophy (PhD), Machine Learning, Statistics, Computer Science, Doctor of Philosophy (PhD), Machine Learning, Statistics, Computer Science at Université libre de BruxellesErasmus programme, Statistics, Erasmus programme, Statistics at The University of Glasgow
English, Italian, French, German
Stackoverflow
41reputation
2kreached
0answers
2questions
Github Skills (44)
anomaly-detection10
r-package10
user-friendly10
feature-selection10
survival-analysis10
prophet10
tidymodels10
forecasting10
mixed-models10
r-language10
variable-selection10
predictive-modeling10
data-science9
r9
interpretable-machine-learning9
Programming languages (2)
Github contributions (5)
dalpozz/dalpozz.github.io
Dec 2016 - Apr 2024
Contributions:87 pushes, 1 branch in 7 years 5 months
dalpozz/unbalanced
Apr 2014 - May 2022
Package that implements several techniques to re-balance or remove noisy instances in unbalanced datasets.
Contributions:22 commits, 1 PR, 13 pushes in 8 years 2 months
instancestechniquesbalancedatasetmachine-learning
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