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introductions
  • j

    j c h a r l e s

    12/13/2021, 10:13 PM
    Hi all, I'm Luke (https://www.linkedin.com/in/lukedz/), a co-founder of a very early startup. A manager of mine from a past life recommended kedro, so I am evaluating it to see whether it will make my current pipeline code more modular, robust, & scalable. I've worked as a data engineer for 11 years (since 2010). Am hoping that kedro is to data pipelines what react is to frontend development.
  • d

    datajoely

    12/14/2021, 10:07 AM
    That react comparison is our unofficial mission statement
  • d

    datajoely

    12/14/2021, 10:07 AM
    may be we should make it our official one 🤔
  • w

    waylonwalker

    01/04/2022, 6:23 PM
    Welcome @User ! 11 years in the industry is HUGE! Id be interested in hearing how well kedro works for you and how it compares to other workflows you have had.
  • d

    datajoely

    01/04/2022, 6:23 PM
    He's also know as @User professionally
  • u

    user

    01/04/2022, 6:36 PM
    Sure, let me know what channel/medium is best, happy to share. I needed to use a professional-only Discord to keep distractions at bay
  • m

    Mackson

    01/09/2022, 1:27 PM
    Hello, guys. I am Mackson, I work as a Data Scientist in Brazil and I'm really liking the Kedro workflow, already tested kedro-mlflow. Came here to learn more about the best practices in the Kedro workflow.
  • l

    Lazy2PickName

    01/11/2022, 11:06 AM
    Hello everyone, I'm João, a Data Scientist from Brazil as well. I've been integrating Kedro on my work and came here hoping to contribute to this amazing tool.
  • h

    Huanyu

    01/27/2022, 5:32 PM
    Hello community! My name is Huanyu (https://www.linkedin.com/in/alanhuanyuli/), a developer and data scientist living at Toronto, Canada. I have known Kedro since last year when a friend from McKinsey told me about it. As a data scientist at that time, I found we did not have a good place for students or junior practitioners to learn industry domain knowledge quickly by looking at domain experts' demo solutions (i.e. feature engineering, modelling). Among many formats to demonstrate those solutions (e.g. notebook), I found the modularized pipelines powered by Kedro was a great choice. The functioning prototype of the website was just launched and I'm still testing on it - please drop me a message if you want to learn more. Many thanks to the Kedro team for creating this great framework!
  • d

    datajoely

    01/27/2022, 6:08 PM
    Would love to know more!
  • h

    Huanyu

    01/27/2022, 6:12 PM
    Sure! The prototype is currently being hosted here: http://dasosml.com and here you can find how Kedro demonstrated the pipelines beautifully for a modelling solution http://dasosml.com/projects/9/m/10/pipeline
    k
    d
    • 3
    • 2
  • a

    adityagandhamal

    01/28/2022, 9:05 AM
    Hello everyone! I am Aditya, from India. Looking forward to explore and contribute to the Kedro community.
  • d

    datajoely

    01/28/2022, 9:41 AM
    This is awesome! I couldn't view on mobile last night - but really cool stuff. You may want to post a GitHub discussion under 'Show and Tell 🙌' to reach a wider audience!
  • u

    user

    01/28/2022, 3:20 PM
    Thanks! I haven't optimized it for the mobile end yet. I will check out the GitHub discussion.
  • l

    lucarc

    01/31/2022, 9:59 AM
    Hello Kedro community, my name is Luca and i am a Data Scientist / ML Engineer in Vodafone Italy I was introduced to Kedro working with McKinsey and specifically to this community by Ivan Danov during a Q&A call! Cheers!
  • k

    kimsia

    01/31/2022, 4:38 PM
    Dasosml.com
  • d

    drdebian

    02/02/2022, 1:12 AM
    Hello friendly people, I'm Al from Austria, just joining the Kedro user community. My day job is doing data science projects, on weekends I study energy engineering, which brought me to Kedro when looking for a robust data pipelining solution. 😄 So get ready for some (stupid) questions from me, I might need some help to get started, but I hope to be giving back to others, when I have matured.
  • m

    mr.robot

    02/03/2022, 3:44 PM
    Hi! I just joined QB this Monday. Started exploring Kedro and was fascinated with the way it works. Looking forward to jumping back on the open-source bandwagon.
  • d

    DarthGreedius

    02/15/2022, 5:35 PM
    Greetings from the Dominican Republic! 🙂
  • a

    anna-lea

    02/18/2022, 12:16 PM
    Hi Kedro Community!! I'm Anna-Lea and discovering Kedro for the past weeks. I really like the concept and how "relatively" easy it works 🙂 Looking forwards to use it and implement it properly in our projects !!
  • l

    LightMiner

    03/11/2022, 8:26 PM
    Hi! I'm a data scientist newbie x), I loved the the peace of mind and professional vibe given by kedro in relation to managing my code,it takes a big weight off my shoulders, I hope that i'll be able to fully exploit it's capabilities in my future projects!
  • d

    Downforu

    04/22/2022, 11:47 AM
    Hi Kedro Community ! I'm Amine, a data scientist working with Kedro for a few weeks now. So far, I'm really happy with it as it's a very robut solution and makes it easy to execute a data pipeline. Looking forward to extend my usage of Kedro by learning more about how orchestration works with Airflow and help newbies like me who are working with Kedro within an Azure environment 😀
  • i

    inigohrey

    04/29/2022, 10:39 AM
    Hey everyone! My name's Iñigo, I'm a data scientist in an energy company in Madrid 🇪🇸 My team has been using kedro for a couple of years. I joined a few months ago and have been really enjoying learning about Kedro, which I am also incorporating into my personal projects. Currently I am researching the best way to integrate advanced hyperparameter optimization libraries (Optuna) with MLFLow and Kedro!
  • n

    noklam

    04/29/2022, 10:44 AM
    Hi @inigohrey, the best way to extend it is probably using hooks https://kedro.readthedocs.io/en/stable/extend_kedro/hooks.html and build a plugin to share across projects.
  • i

    inigohrey

    04/29/2022, 10:47 AM
    Thanks! That's what I've been looking into and seems to satisfy our needs! Hadn't really considered building a plugin though, I will look into that 🙂
  • n

    noklam

    04/29/2022, 1:03 PM
    https://github.com/kedro-org/kedro/issues/1303 This is an issue that some user is working on some plugin with
    optuna
  • y

    Yetunde

    04/29/2022, 3:52 PM
    Welcome @inigohrey! If you're looking into using the full suite of MLFlow features then perhaps
    kedro-mlflow
    developed by @Galileo-Galilei will be great for your workflow! You'll find the team in #908346260224872480. And I've also spotted this article by our friends at Neptune about using
    optuna
    with Kedro: https://neptune.ai/blog/kedro-pipelines-with-optuna-hyperparameter-sweeps. They also use our experiment tracking functionality if you're looking for a lightweight application of that.
  • p

    Prince Canuma

    05/02/2022, 12:53 PM
    Hi Kedro community ! I’m Prince Canuma a Data Scientist at Neptune.ai. I’m here to help with any questions related to Neptune(and the Neptune-Kedro integration), experiment tracking, versioning datasets, registering models and more.
  • k

    Kastakin

    05/10/2022, 10:49 AM
    Hello Everyone! I'm Lorenzo, a PhD Student in Chemical and Material Science in Turin, Italy! I cover the data scientist role in my research group and I just embarked in the journey of learning Kedro to see howit could be integrated in our workflow! I'm more then a newbie in the field but I can't wait to start experimenting! Looking forward to what's ahead!
  • v

    Valentin DM.

    05/11/2022, 6:04 PM
    Hello everyone 👋, I'm Valentin, AI Engineer @ Gladia and I just discovered Kedro while working on a side project (aiming to create a deep learning based IDS). Having both experience in Software Engineering and Research in DL I must say that this tool looks promising 🚀
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v

Valentin DM.

05/11/2022, 6:04 PM
Hello everyone 👋, I'm Valentin, AI Engineer @ Gladia and I just discovered Kedro while working on a side project (aiming to create a deep learning based IDS). Having both experience in Software Engineering and Research in DL I must say that this tool looks promising 🚀
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