Abu Dhabi Emirate, United Arab Emirates
Physics, Data Science and ML/AI. Developing an R&D team of Physicists, Mathematicians and Data Scientists to contribute to UAE's energy transition, water and food security. At ease with the gathering of stakeholders' needs and their translation into digital and modeling solutions for public and private institutions. Further interests: Nuclear and plasma physics, Symbolic Regression, Time Series and Physics Informed Machine Learning. Other Specialties: Physics and instrumentation, data acquisition chains, data inception (from sensor design to AI/ML solutions in industrial processes). Design and delivery of courses in Data Science, IT and STEM. I lived and researched in Italy, Germany, United Kingdom, France, Ireland and Belgium; and speak Italian, Dutch, English, French, German and basic Spanish. MSc. in Nuclear Physics, PhD. in Plasma Physics, 20+ years of R&D (industry and public sector). Post graduate Certificate in Learning and Teaching in Higher Education.
Taking care of modeling across the renewable energy and sustainability R&D portfolio by merging data science and physics.
Addressing Data Quality at Proximus, Brussels. Proposing solutions in Data Science / Machine Learning and Industrial Physics for customers across Europe. Domains: connected objects/IoT, equipment and their data acquisition chains - from data generation to analysis and modelling. Helping out your digital transformations via analysis, coaching and ad-hoc interventions.
Leading a team of data scientists contributing to the development of genetic programming and symbolic regression applications.
A summary of pre-sales and analysis activities is followed by a short list of implementations. Participation to the definition of the Data Roadmap and the DataLab for a multinational equipment manufacturing company (ATLAS COPCO) in Belgium, upon requirement gathering (interview workshops to gather the business, processes and data understanding). Dash-boarding of customers connections in Kibana (Elastic search stack) at Orange Belgium. Data Science Coaching for a customer in the manufacturing area, in Italy (leading to the sale of use cases, to be done in Python). Drafting of research and analysis proposals for both EU institutions (air transport, safety and traffic); and RFP to private company (energy, retail). Contribution to the definition of a technical offer for a big- pharma company, involving machine learning in process control. Definition of data science pipeline for diverse activities (prediction of anomalies, data profiling) using R language and Python to prototype libraries of functions, testing of code-less platform (Knime) to implement use cases. Testing of analytics solutions suites.
Proposition of Data Science solutions in healthcare, transportation and safety. Consulting in data science and machine learning both pre-sales and at implementation of proof of concepts. Pre-sales activities involving customers interviews and definition of uses cases (Operating theatres, re-admission rates) for a major Belgian hospital trust (CHC). Assessment of the data from marketing questionnaires of a local government agency (basic sentiment analysis , R, city of Antwerp, in Dutch). Definition of the pipeline for the re-branding of a company - confidential - mark and logo (text part, R and web scraping. The graphics was done by external agency). Detection of anomalies from an subset of company servers (poc in R) internal to NRB. The Data Science pipeline: libraries of function for the data profiling (R and python)