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docs/wp/blockchain/index.md

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for a major international banking group before moving to one of
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Asia’s largest sovereign-wealth funds to develop a solution for
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best execution and transaction-cost analysis.
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[:fontawesome-brands-linkedin:](https://www.linkedin.com/in/irwin-daniel)
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![Jeremy Lucid](../../img/faces/jeremylucid.jpg)
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{: .small-face}

docs/wp/compress/index.md

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**Eoin Killeen** has worked with KX technology for over ten years, designing and building real-time trading and analytics systems for clients in New York and London.
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Eoin’s current focus is Solution Architecture for EMEA-based clients.
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[:fontawesome-brands-linkedin:](https://www.linkedin.com/in/eoin-killeen/)
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docs/wp/data-loaders/index.md

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**Enda Gildea** is a senior kdb+ consultant for KX who has implemented several eFX post-trade analytics and cross-asset surveillance solutions in Singapore and Sydney.
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<br>
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[:fontawesome-brands-linkedin:](https://www.linkedin.com/in/endagildea/)
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docs/wp/data-visualization/index.md

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![Micahela Woods](../../img/faces/michaelawoods.jpg)
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**Michaela Woods** is a KX Technical Evangelist and Training Manager. She pioneered combining kdb+ with Tableau, transforming the data-visualization platform for a Tier-1 Investment Bank.&nbsp;
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[:fontawesome-brands-linkedin:](https://www.linkedin.com/in/michaela-woods-50502b60/)
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**Michaela Woods** is a KX Technical Evangelist and Training Manager. She pioneered combining kdb+ with Tableau, transforming the data-visualization platform for a Tier-1 Investment Bank.
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## Appendix A

docs/wp/disaster-floods/index.md

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![Diane O’Donoghue](../../img/faces/dianeodonoghue.jpg)
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**Diane O’Donoghue** joined First Derivative in 2018 as a data scientist in the Capital Markets Training Program and is currently on the Machine Learning team based in London. Within the team, Diane has been involved with expanding the Machine Learning Toolkit and the automated machine-learning platform.&nbsp;
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[:fontawesome-brands-linkedin:](https://www.linkedin.com/in/diane-o-donoghue-699230144/)
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**Diane O’Donoghue** joined First Derivative in 2018 as a data scientist in the Capital Markets Training Program and is currently on the Machine Learning team based in London. Within the team, Diane has been involved with expanding the Machine Learning Toolkit and the automated machine-learning platform.
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## Code

docs/wp/embedpy-lasso/index.md

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**Samantha (Gallagher) Devlin** has worked on implementing kdb+ solutions for financial institutions globally.
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&nbsp;
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[:fontawesome-brands-linkedin:](https://www.linkedin.com/in/samantha-gallagher-kdb)
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docs/wp/intraday-writedown/index.md

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## Author
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**Colm McCarthy** is a senior kdb+ consultant who has worked for leading investment banks across a number of different asset classes. &nbsp;
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[:fontawesome-brands-linkedin:](https://www.linkedin.com/in/colm-mccarthy-11a60864/)
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**Colm McCarthy** is a senior kdb+ consultant who has worked for leading investment banks across a number of different asset classes.

docs/wp/iot-mqtt/index.md

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**Rian Ó Cuinneagáin** is a manager at KX.
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Rian is currently based in Dublin working on industrial applications of kdb+.
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<br>
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&nbsp;
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[:fontawesome-brands-linkedin:](https://www.linkedin.com/in/rocuinneagain/)
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&nbsp;
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[:fontawesome-brands-twitter:](https://twitter.com/rianoc)
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docs/wp/market-depth/index.md

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**Stephen Dempsey** is senior kdb+ developer on the KX R&D team. His core responsibility has been developing the [KX Platform](../../devtools.md#kx-platform) and supporting the wide range of applications built upon it. Earlier he implemented various kdb+ applications including large-volume exchange backtesting, and eFX trading.
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[:fontawesome-brands-linkedin:](https://www.linkedin.com/in/stephen-dempsey-6b1b5319/)
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docs/wp/permissions/index.md

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## Author
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**Tom Martin** is a senior kdb+ consultant for KX who has built kdb+ systems for some of the world’s leading financial institutions. Tom is currently based in London, where he works on FX auto-hedging and client algos at a top-tier investment bank.
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[:fontawesome-brands-linkedin:](https://www.linkedin.com/in/tom-martin-9ba96438/)
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&nbsp;
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[:fontawesome-brands-github:](https://github.com/t-martin)
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