Betting on RapidMiner in a Big Way

This past Friday I resigned from my position as a Civil Engineering Manager at SYSTRA, my employer of the last 6+ years.  I did this because an opportunity of a lifetime knocked on my door, an opportunity that will give me a chance to pursue my passion in an exciting and growing field. In short, an opportunity to follow my dreams.

I’ve accepted a position as a senior consultant at Rapidminer, in their Boston headquarters, and I couldn’t be more excited about this. Not only will I be leveraging my engineering, predictive analytic, presentation/teaching and Rapidminer skills, but I will be empowering  organizations to utilize and adopt Rapidminer in ways they’ve never dreamed of.

If you asked me in 2007, when I started this blog, that my passion for data analytics and Rapidminer would eventually lead to a career with them, I would’ve laughed at you! Now, I’m reporting for duty the first week of March.

When my last box is packed and I turn off the light at my old office for the last time, I will be placing a new bet, one that will pay off in a big way. I will be putting all my chips in, going long on Rapidminer, and not looking back!

Why? Because I believe in Rapidminer. I believe that it can empower its users and their organizations to find new nuggets of information in their data that could change the world. I want to be a part of that, something larger than myself. I want to be a part of a community of thinkers, doers, and practitioners where ideas lead to new innovations and a better world. Who wouldn’t want to be a part of that?

My dear friends, I owe all this to you! To my readers, commenters, tweeple, Ralf (for meeting me in NYC long ago), Ingo (for inviting me to RCOMM 2010), the Dortmund Rapidminer team, and all the Rapidminer users that reached out to me over the years with comments, questions, and friendship, I owe all of this to you. From the bottom of my heart, thank you!

Up next The RAPi Project My initial setback in running Rapid Analytics on a Raspberry Pi might end up being just a small stumbling block in the end. The only thing that’s The RAPi Project Update With every few steps forward on this project, I inevitably take a step back. On Friday night I successfully created a 2 node Pi computer. I tested
Latest posts The Ye Old Blog List Motorola: Then and Now EWM Redux Testing for mean reversion with Python & developing simple VIX system - Talaikis unsorted - Tadas Talaikis Blog Steps to calculate centroids in cluster using K-means clustering algorithm - Data Science Central Basics of Statistical Mean Reversion Testing - QuantStart Algorithmic trading in less than 100 lines of Python code - O’Reilly Media Interpreting Machine Learning Models Microsoft the AI Powerhouse Investing in the S&P500 still beats AI Trading Microsoft makes a push to simplify machine learning | TechCrunch 10 Great Articles On Python Development — Hacker Noon Introduction to Keras Democratising Machine learning with H2O — Towards Data Science Getting started with Python datatable | Kaggle Phone Addiction Version 12 Launches Today! Machine Learning Making Pesto Tastier 5 Dangerous Things You Should Let Your Kids Do The Pyschology of Writing Investing in 2019 and beyond TensorFlow and High Level APIs Driving Marketing Performance with H2O Driverless AI Machine Learning and Data Munging in H2O Driverless AI with datatable Making AI Happen Without Getting Fired Latest Musings from a Traveling Sales Engineer The Night before H2O World 2019 Why Forex Trading is Frustrating Functional Programming in Python Automatic Feature Engineering with Driverless AI Ray Dalio's Pure Alpha Fund