Matthew Goodman states in his Zintro profile that his professional title is Head of Computational Mischief and he calls himself a simulation and modeling nerd. Translation is that Goodman is an expert in simulation and modeling in bio engineering with experience in scientific computing, including but not limited to image processing, industrial data-mining, HPC and cloud computing, and statistical decision making. And with his sense of humor and good nature as well as his expertise, Goodman has generated success for himself and his clients through the Zintro system.
Goodman has had multiple projects through Zintro that have moved his clients forward in positive ways. “One of my interactions through Zintro was a researcher who was looking to have a piece of code written, which I had already created for an unrelated project. He found me through Zintro,” says Goodman. “I was able to shoot off a quick snippet of code to him, and it likely saved him a good bit of time and money. The benefit for me was that I simultaneously developed a new academic contact.” For another Zintro contact, Goodman connected with a client that had learned about machine learning and was looking to leverage some collected data. “After a fairly involved discussion, I was able to suggest some time-series analysis tools that got the client tangible results,” he says.
Goodman likes what he sees in his interactions with Zintro. “I think the largest use-case for Zintro is when a client is not exactly sure of what kind of tools or skills are needed to tackle a problem,” he says. “I am interested in the types of jobs that I get contacted for; for example, because I have listed my experience with ec2 and cloud computing, I get a large influx of contacts that want me to explain how these platforms interface with existing IT in a business. As a result, these interactions tell me what business decision makers are thinking about, or at the very least, what they wish to understand better.”
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