Nikos Tzagkarakis

StarBayes is a new platfrom that combines the realism and precision of detailed simulations with the probabilistic reasoning and adaptive learning capabilities of Bayesian networks. StarBayes' three-step probabilistic platform will provide invaluable insights for space agencies, satellite operators, and aerospace companies, enhancing their ability to plan and execute space missions, solving for uncertainty like never before.

In charge of Data and ML/DL/A.I. teams. Reconciling internal data operations and building data analytics architectures to support BD and Product strategies. Designed the company’s economy simulation algorithm, connected to Bayesian Networks and Statistics. Designed the Neurosymbolic architecture of the company combining Deep Learning and Hierarchical Graph computations, used in gamer behaviour predictions.

The A.I. that uses logic on top of Deep Learning, to help pharmaceuticals connect millions of data points, in ways that was not capable before, by emulating the human logic of a scientist. Intoolab is an A.I. startup that helps researchers and pharmaceuticals in the field of biomedicine. We have created our own artificial scientist called Tzager that uses logic on top of Deep Learning, to help pharmaceuticals connect millions of data points, in ways that was not capable before, by emulating the human logic of a scientist in healthcare and drug research. Tzager is built in collaboration with teams from the biggest universities in Europe. In a nutshell, Tzager can answer enquiries through its Biochemical Intelligence and Causal connections and read thousands of documents and find correlations and most importantly causalities between the different biomedicine concepts. In addition, Tzager is built to analyse the documents (pdf, txt, doc) of a team, find the objectives and concepts discussed and propose correlations and literature.

The first Bayesian Inference library for Python, with a complete Bayesian Network for Healthcare.

In charge of redesigning the company's and customer's Data analytics aligning with BD and Product strategies, while at the same time designing the architecture of the company's internal tool for user behaviour prediction and next step simulations.

• Market Research • Marketing Strategy regarding the company’s Positioning, Customer Perception & Brand Awareness • Competition Monitoring • Content Writing • Social Media Management (Facebook, Twitter, Google Plus, Pinterest, LinkedIn) • Online Advertising (Adwords, Facebook) • Google Analytics • SEO Tactics

Basic and advanced principles of marketing/consumer research, understanding of marketing fundamentals, advanced qualitative/quantitative analytical techniques in marketing research, analysis of purchase (panel, scanner) data. Some of my tasks are: Involvement in marketing research activities, learning of academic marketing research methodology, studying marketing research essentials, developing data analytical and communicational skills.

Part-time. Exploring Neurosymbolic Architectures for Self-Modelling and Inter-Agent Communication