Grigorios Mingas
Data Science Manager
London, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolGrigorios Mingas is a Data Science Manager in London with a decade of experience building and shipping ML-driven products across retail, aviation, and urban systems. He has led multi-disciplinary teams to deliver production tools—from marketing uplift and multi-touch attribution at Sainsbury’s to an operations-focused flight disruption recommender used at Heathrow—combining Bayesian inference, optimisation and MCMC expertise with pragmatic product leadership. A PhD-trained engineer from Imperial College, he has contributed novel sampling algorithms upstream to PyMC and helped deploy the first trial AI air-traffic controller through a £15m collaboration with NATS. Known for establishing robust ways of working (SCRUM, CI/CD) and mentoring teams, he also develops training material, contributes to open-source, and champions EDI and ethical data practices. An unusual strength is his ability to bridge low-latency optimisation (C++, CUDA) with business-facing analytics, turning advanced research into operational impact.
10 years of coding experience
11 years of employment as a software developer
Erasmus student, Systems Engineering, Erasmus student, Systems Engineering at The University of ReadingDoctor of Philosophy (PhD), Electrical and Electronics Engineering, Doctor of Philosophy (PhD), Electrical and Electronics Engineering at Imperial College LondonMaster of Engineering (M.Eng.), Electrical and Computer Engineering, 8.80/10 (top 2%), Master of Engineering (M.Eng.), Electrical and Computer Engineering, 8.80/10 (top 2%) at Aristotle University of Thessaloniki
Greek, English
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (49)
data-generation10
bayesian-statistics10
variational-inference10
probabilistic-programming10
stable10
python10
synthetic10
loops10
statistical-inference10
mcmc10
bayesian10
probabilistic-models10
probabilistic10
probabilistic-graphical-models10
bayesian-inference10
Programming languages (3)
Github contributions (5)
alan-turing-institute/QUIPP-pipeline
Nov 2019 - Jul 2021
Privacy preserving synthetic data generation workflows
Contributions:9 reviews, 266 commits, 35 PRs in 1 year 7 months
privacyhut23syntheticsynthetic-data-generationdata-generation
alan-turing-institute/pymc3
Jan 2020 - Dec 2020
Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Theano
Contributions:1 review, 658 commits, 59 PRs in 10 months
pythontheanomachine-learningprobabilistic-programmingbayesian-statistics
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