John Lonergan is a data science leader with 11 years' experience building and scaling analytics teams across Europe, Asia and the US, currently managing Spotify’s global market analytics function. He combines deep academic training (a PhD in Linguistics and an MA in Applied Linguistics) with hands-on product analytics, attribution, LTV modeling and forecasting to drive strategy for global launches and user growth. Previously at Amazon he grew and operationalized large multilingual analytics and data production teams, delivered tooling to surface ASR/NLU failures at scale, and removed linguistic bottlenecks to accelerate international launches. Comfortable bridging research, engineering and product, he brings rare expertise at the intersection of language technologies and growth analytics. An experienced manager of distributed teams, he pairs technical rigor with pragmatic process design to convert complex data into executive-ready decisions.
11 years of coding experience
4 years of employment as a software developer
Bachelor of Arts (B.A.), Journalism, Bachelor of Arts (B.A.), Journalism at Dublin City University
Master of Arts (M.A.), Applied Linguistics, First Class Honours, Master of Arts (M.A.), Applied Linguistics, First Class Honours at Macquarie University
Doctor of Philosophy (Ph.D.), Linguistics, Doctor of Philosophy (Ph.D.), Linguistics at University College Dublin
Home Brew 8 Bit CPU Hardware Implementation including a Verilog simulation, an assembler, a "C" Compiler and this repo also contains my research and learning. See also the Hackaday.IO project. https://hackaday.io/project/166922-spam-1-8-bit-cpu
Contributions:1 review, 1004 commits, 2 PRs in 3 years 1 month
assemblercompilerhardwaresimulationverilog
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