Philippe Thomy
Data Scientist
Bollène, Provence-Alpes-Côte d'Azur, France
Summary
👤
Senior🎓
Top SchoolPhilippe Thomy is a data scientist and founder with 9+ years of hands-on experience turning environmental and IoT data into practical interoperable systems. After rediscovering coding in 2017, he built expertise in prediction, compression, assimilation and standardization of temporal sensor data—contributions include an Arduino time-series compression library, a Wikipedia page on curve compression, and a Bluetooth Environmental Sensing Service enhancement adopted by Bluetooth SIG. He led R&D at "a LAB is in the AIR" and now runs Loco-labs while helping Qualicharge (beta.gouv) manage EV chargepoint usage data. His work bridges engineering rigor from a long career in automotive and systems roles with a maker’s DIY/ open-source ethos and a focus on multiformat exchange standards. Philippe is currently building an organization to deliver open connectors across the data lifecycle, blending standards advocacy with practical toolchains for environmental interoperability.
9 years of coding experience
Diplôme d'ingénieur, Diplôme d'ingénieur at CentraleSupélecBaccalauréat E, Baccalauréat E at lycee technique paul langevinClasses préparatoires M, Classes préparatoires M at Lycée Louis-le-Grand
Github Skills (10)
des8
arduino7
ide7
arduino-ide5
compression5
crossword3
arduino-uno3
uno2
esp321
esp82661
Programming languages (2)
Github contributions (5)
predicteur/Serie
Nov 2019 - Apr 2020
Traitement des séries temporelles et compression
Contributions:5 releases, 47 commits, 2 PRs in 4 months
compressiondes
predicteur/anticipair
Oct 2016 - Apr 2019
Contributions:10 PRs, 25 pushes, 4 branches in 2 years 5 months
airpythondiction
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