Francesco Gabbanini

Working as a Solutions Architect for in Manufacturing and Quality (MQ) Data Integration and Analytics (DIA). Leading the design of MQ next generation cloud-based platform for data and advanced analytics solutions. Leading DIA projects in the space of data science, machine learning, predictive analytics, advanced scheduling and optimization, discrete-event simulation. Reference technologies: Python, R, AWS, Azure. My background: data science, AI/ML, design of software architectures; coordinating developers' teams in implementing distributed network applications on multiple platforms; support of software life-cycle. Statistical analysis, discrete wavelet transform, wavelet based analysis of time series. Experienced on a variety of technologies/platforms: - C, C++, Java, Python, Android SDK, .NET, Objective C, iOS SDK; - Cryptography, data confidentiality, data integrity, authentication; - Semantic Web stack; - Human-Computer Interaction, with focus on multi-modal interaction, accessibility and usability of software applications.