We're happy to announce David Plummer as KNIME COTM for May 2023! David is the prolific writer behind many excellent data stories that masterfully blend KNIME with Python for enhanced data visualization themes or cluster analysis. The early adoption of KNIME modern UI in his data stories is further testimony to his commitment to always deliver content in step with the times. He also provides great support and feedback on the KNIME Forum.

This April, we are excited to announce James (김명석) Kim as our Contributor of the Month! James leads the partnership between KNIME and Zalesia, an Elite Partner in Korea. James has been a true ambassador for the Korean-speaking analytics community and serves on the board for KNIME Data Connect: Korea. He along with his team members has translated resources and has published Zalesia’s new book “Data Preprocessing and Integrated Analysis with KNIME" in Korean. You can find more material about KNIME in Korean on Zalesia’s YouTube channel and Blog. 

Cristian Rastasanu is a data analyst at Mydral, the organization formerly nominated as the KNIME Partner of the Year 2022. Cristian has built five KNIME components for financial analysis, and published them on the KNIME Verified Component page in December 2022. The components offer data analysts popular functions in the finance industry: NPV, XNPV, IRR, XIRR, and MIRR.

Dominique is the first author of the paper “TeachOpenCADD-KNIME: A Teaching Platform for Computer-Aided Drug Design Using KNIME Workflows” published in 2019 by the American Chemical Society. The paper describes a KNIME workflow for different computer-aided drug design (CADD) tasks: a valuable resource for teaching students and life sciences low-coders. The workflow, publicly available on the KNIME Community Hub, is divided into eight components ready for execution on some example data. There is a different component for each topic, such as how to fetch, filter and analyze compound data.
 

Stephen has been a longstanding member of the KNIME Community for many years, and as the developer of the Vernalis KNIME Nodes Extension, he is the author of over 250 nodes used for cheminformatics, remote data searching, and general utility functions. Apart from that, he also serves on the board for KNIME Data Connect: UK, and has been a speaker at several different KNIME events going back to 2013.

This month, we celebrate the best of the best in the Just KNIME It! (JKI) Challenges. Winners were chosen based on the number of submitted solutions, as well as their creativity, efficiency, and educational value. Yasue Katsutaka, Emiliano Amendola, Raffaello Barri, Anil Kumar Sharma are all KNinjas who went above and beyond in making blogs and amazing dashboards, helping the community on the KNIME Forum, and being a big part of our social media events!

Although long overdue, we are happy to announce Daniel Weikert as the COTM for November. Daniel has stood out as a community contributor with his Udemy courses on KNIME, teaching more than 6,000 users everything from how to get started with KNIME to how to convert from Excel to KNIME. Daniel has most recently presented an excellent webinar on the same topic, Excel to KNIME.  He’s passed his teaching evaluation to become a KNIME Certified Trainer. 

Talk about being an active KNIME community member! Kazutaka Watari aka @watarinko is a whirlwind: #66daysofdata Challenge ✔️L1 & L2 courses ✔️ L1 and L2 Certification Exams ✔️ Just KNIME It! Challenges ✔️ Sharing Solutions on the KNIME Hub ✔️ #100daysofdata Challenge ✔️ L4-ML course on Machine Learning algorithms ✔️Sharing Progress on Social Media ✔️

We're happy to announce Dayanjan Wijesinghe, also known as Shanaka, as COTM for September! Shanaka has done a lot of work to integrate KNIME into the Digital Healthcare field. This includes content collaborations with us on a variety of topics, such as hypothesis testing on FAERS data and total parenteral nutrition calculation, a joint talk for AAPS (the American Association of Pharmaceutical Scientists), and many other initiatives that are coming out soon – stay tuned!

We are happy to announce Dr. Arne Beckhaus, Head of Data Architecture Automotive at Continental, as the top community contributor for August for building Hash Files and Hash Strings components and leading the development of the Continental Nodes extension. Both components and nodes add unique functionalities to KNIME Hub: visit the Community Components – Summer 2022 Collection and Continental – Community – Example Space to learn more.

We're happy to announce John Emery as COTM for July! Not only is John the first certified trainer of KNIME Software (check out the new KNIME Certified Trainer badge) and a speaker at our events, but he is also the author of several blog posts about parsing and analyzing PDF documents, running baseball hitting streak simulations, or cracking Wordle.

Not only is Christophe an active member of the KNIME Forum and a speaker at our events, but has also co-authored several scientific papers on various QSAR topics where he has used KNIME, which you can read below.

• ADME Prediction with KNIME: Prediction of Human Oral Bioavailability
• ADME prediction with KNIME: In Silico Aqueous Solubility
• Automated Framework for QSAR Modeling of Highly Imbalanced Data
• ADME prediction with KNIME: A retrospective contribution to the second “Solubility Challenge”
• Isometric Stratified Ensembles: Adaptive Applicability Domain and Consensus Classification of Colloidal Aggregation

Bruno Ng is a highly active member of the KNIME Forum and has also made many valuable contributions to the KNIME Hub in his public space. Bruno always engages other KNIMErs with the utmost courtesy and clarity. To date, he has created 1.9k posts, received 3.1k hearts, and provided 214 solutions. Thank you, Bruno!

An expert in marketing analytics and NLP, Francisco Ordenes has taught such topics using KNIME software at several  universities throughout his career.

Together with a team at KNIME, he developed a live repository for ML in marketing analytics on the KNIME Hub with reusable solutions for customer churn, sentiment analysis, automated image analysis, SEO & CX. An extensive analysis of this project is provided in his research paper.

Check out Paul Wisneskey's "Making the Pass" articles on American football! Paul explores whether he can teach his ML model to make a pass: throw the ball to a receiver in motion.  Part 1 deals with Parameter Optimization with KNIME and Part 2: Trains a Neural Network.