Nicky Dee's many video tutorials represent an extensive, organized, easy to digest, and useful resource for newbies and expert KNIME users to progress in their knowledge of KNIME, including exploration of lookup IDs, pivoting and unpivoting, aggregations, conditional math, date and time operations, excel function translations, and many more data transformation and ETL operations.

Malik has impacted DNA, mRNA, and miRNA analysis, gene ontology, and molecular biology with his research, as confirmed by a long list of publications in top, peer reviewed scientific journals, books, and US patents. He has developed ML algorithms to predict mRNA and their targets, analyze gene expression, and integrate mRNA and miRNA expression profiles via machine learning.

Andrea has had a multifaceted career. He’s been a business data analyst, data scientist, BI and data science manager at Vodafone and P&G, a university professor at various universities across Europe, a blogger, social media influencer, and book author. Throughout his career, and for all his professional activities, KNIME has been his reliable companion. His latest book – “Data Analytics Made Easy” published by Packt in 2021 – shows how to use machine learning and data science techniques in the business context without writing any code.

We are happy to announce Ashok K Harnal’s automated feature engineering components as the community contributions for November. These community components add unique functionalities to KNIME Hub, and provide good examples on how to bundle and share Python scripts without dependency issues. Visit the Community Component Highlights section on the Verified Component web page to learn more.

Congratulations Brian Bates - our Contributor of the Month for October - who is a trusted presence in our forum community. Despite registering on the KNIME forum only six months ago, he’s already accumulated more favorites and replies posted than almost anyone over the past year!

When we asked Brian what motivates him, he said “I get a lot of satisfaction out of the challenges presented on the forum and assisting others with their workflows. It's always nice to see a solution working for somebody where they've perhaps been struggling for a while.”

Check out two of Brian's many component: Open File or Folder for quickly opening and checking on a file or folder in your KNIME workspace, and String Emoji Filter for removing emojis out of emails or tweets.

Ignacio's work revolves around the Spanish-speaking KNIME community. He established and currently overviews the Spanish questions on the Forum, regularly hosts courses in Spanish, and he also translated the ebook "de Excel a KNIME Analytics Platform” into Spanish. Ignacio is a respected reference for our Spanish-speaking community members! Thanks Ignacio for your contributions!

Tosin is not only an active KNIME user, but she also shares valuable contributions on the KNIME Hub and knowledge through her posts on social media. Tosin also moderated the KNIME, Excel, & Reporting user group meeting at the recent KNIME Data Talks - Community Edition. Lastly, take a look at her Fraud Detection project (using KNIME of course!) on her LinkedIn page.

Makkynm is an active KNIME community member and has written numerous blog posts and guides in Japanese be it for beginner, intermediate, or advanced KNIME users.

Alzbeta Tuerkova and co-author Barbara Zdrazil, in their research paper show how KNIME is used for an efficient and reproducible drug-repurposing strategy to identify new drug candidates for rare diseases and COVID-19. The workflow, tutorials, and information gained on COVID-19 data are freely available to the scientific community for follow-up studies or can be tailored to specific needs of other use cases.

Giuseppe Di Fatta is Head of the Department of Computer Science at the University of Reading, where he also teaches data science courses using KNIME Analytics Platform: Data Science Algorithms & Tools, and Data Analytics and Mining. The current KNIME Certification Program was developed in collaboration with Giuseppe, too. As an ardent KNIME advocate, he’s also been sharing his positive experiences using KNIME software with the academic community.

Dennis has written several articles, where he shares his experiences, recipes, & best practices for analyzing data with KNIME Analytics Platform - both alone & in combination with other tools. A couple of his memorable articles include: making COVID-19 projections by combining KNIME, Jupyter, & Tableau (which also has a sequel), & his opinion piece on how &  why KNIME has become the most important tool in his daily work.

In his forum post, Phil shares what he’s doing with KNIME to spark his personal creativity - specifically for his hobby of role-playing games. Dive into the world of wizards, dwarves, elves, and humans working on heroic quests. Maybe you’ll be inspired to accept his challenge and share your own crazy KNIME projects!

Armin Ghassemi Rudd's Translator and Get Request Plus components can be found on the KNIME Hub and are also featured on our Verified Components webpage. Besides creating awesome components, Armin has been a long term and very active contributor to the KNIME Forum.

We had two contributors for the month of January: Evan Bristow and Miguel InfMad, who are long time KNIME users and data science experts. In recent years, Evan and Miguel have put their expertise to good use by building and nurturing a Facebook community for all KNIME users - from newbies to experts.

KNIME Hub Profile - Evan | KNIME Hub Profile - Miguel

Keith is an independent trainer and being an ardent KNIME advocate, has helped many get trained on KNIME through his courses on LinkedIn Learning: Introduction to Machine Learning with KNIME, and Data Science Foundations - Data Assessment for Predictive Modeling.