Strongbytes
Dan Nicola has a diverse work experience in the technology industry. Dan is currently the CEO at Strongbytes, a position they have held since December 2015. Prior to that, they founded and organized Codecamp Romania, a series of IT events that have been running for over 10 years. In 2017, they became a partner at TBNR Accelerator Iași, focusing on accelerating and investing in technology startups. Dan also has experience at Maxcode, where they served as the Director of Maxcode Romania from February 2012 to July 2016 and held various roles such as Project Manager and Software Developer. Before that, they worked as a Software Developer at E2 Technology Partner.
Dan Nicola attended Universitatea "Alexandru Ioan Cuza" din Iași from 2002 to 2006, where they earned a Bachelor's degree in Computer Science. In January 2012, they obtained a certification in Certified Scrum Master from Scrum Alliance.
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Strongbytes
Strongbytes provides solution delivery services around AI/Machine Learning driven capabilities. We help customers define the right Machine Learning use case for their business, building and training predictive models. One of our core strengths is also making these models operational, by creating scalable, secure and performant products around them. Having built such products for clients ranging from startups to Fortune 500 companies, our expertise ensures your idea will get the right kind of treatment in our hands. Our Story Artificial intelligence (AI) is marching its way into every domain of life and business. Driven by ML technologies and expert systems, AI revolutionizes the approach to transforming unstructured data into valuable insights or actions. Working with us, AI doesn’t have to be a black box, it’s more about acquiring the knowledge you need to make the right decisions or develop new business solutions. Our team is composed of senior consultants and developers with a great track record in delivering software products and services, as well as helping customers in optimising their end-to-end delivery process. Whether it’s developing an AI capability or implementing it in a stand-alone product, we do it in an incremental and iterative way, blending agile processes with strong engineering practices. Our methodology to deliver predictive analytics solutions and intelligent applications efficiently is based on the Microsoft’s Team Data Science Process lifecycle (TDSP). It has been designed for data science projects that ship as part of intelligent applications, deploying machine learning and artificial intelligence models for predictive analytics. TDSP contains a distillation of the best practices and structures from Microsoft and others in the industry, designed to help companies fully realise the benefits of their analytics programs.