Alessandro Betti
Head of Machine Learning Lab at Intecs- Claim this Profile
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English Professional working proficiency
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French Elementary proficiency
Topline Score
Bio
Cristina Cornaro
I had the opportunity to work with Alessandro as part of Task16 of the International Energy Agency where he was leading a subtask on Regional PV Power Production Forecasting. Under his coordination we worked at the first Technical Report 2020 of IEA PVPS Task 16 on "Regional solar power forecasting". It was a great pleasure to collaborate with him. Alessandro is an excellent data scientist. He has excellent management skills as well as a solid technical background on the topic. I hope to be able to continue collaborating with him in the future.
Bruno Canessa
Alessandro is an extremely capable and dedicated data scientist and project manager. He has strong analytical and communication skills which are further enhanced by his solid technical background and his enthusiasm for learning. Alessandro works extremely well with clients, coworkers, and executives, adapting the analysis and communication techniques in order to achieve the objective.
Cristina Cornaro
I had the opportunity to work with Alessandro as part of Task16 of the International Energy Agency where he was leading a subtask on Regional PV Power Production Forecasting. Under his coordination we worked at the first Technical Report 2020 of IEA PVPS Task 16 on "Regional solar power forecasting". It was a great pleasure to collaborate with him. Alessandro is an excellent data scientist. He has excellent management skills as well as a solid technical background on the topic. I hope to be able to continue collaborating with him in the future.
Bruno Canessa
Alessandro is an extremely capable and dedicated data scientist and project manager. He has strong analytical and communication skills which are further enhanced by his solid technical background and his enthusiasm for learning. Alessandro works extremely well with clients, coworkers, and executives, adapting the analysis and communication techniques in order to achieve the objective.
Cristina Cornaro
I had the opportunity to work with Alessandro as part of Task16 of the International Energy Agency where he was leading a subtask on Regional PV Power Production Forecasting. Under his coordination we worked at the first Technical Report 2020 of IEA PVPS Task 16 on "Regional solar power forecasting". It was a great pleasure to collaborate with him. Alessandro is an excellent data scientist. He has excellent management skills as well as a solid technical background on the topic. I hope to be able to continue collaborating with him in the future.
Bruno Canessa
Alessandro is an extremely capable and dedicated data scientist and project manager. He has strong analytical and communication skills which are further enhanced by his solid technical background and his enthusiasm for learning. Alessandro works extremely well with clients, coworkers, and executives, adapting the analysis and communication techniques in order to achieve the objective.
Cristina Cornaro
I had the opportunity to work with Alessandro as part of Task16 of the International Energy Agency where he was leading a subtask on Regional PV Power Production Forecasting. Under his coordination we worked at the first Technical Report 2020 of IEA PVPS Task 16 on "Regional solar power forecasting". It was a great pleasure to collaborate with him. Alessandro is an excellent data scientist. He has excellent management skills as well as a solid technical background on the topic. I hope to be able to continue collaborating with him in the future.
Bruno Canessa
Alessandro is an extremely capable and dedicated data scientist and project manager. He has strong analytical and communication skills which are further enhanced by his solid technical background and his enthusiasm for learning. Alessandro works extremely well with clients, coworkers, and executives, adapting the analysis and communication techniques in order to achieve the objective.
Credentials
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Applied AI: Building NLP Apps with Hugging Face Transformers
LinkedInMay, 2023- Nov, 2024 -
MLOps Essentials: Model Deployment and Monitoring
LinkedInApr, 2023- Nov, 2024 -
MLOps Essentials: Model Development and Integration
LinkedInApr, 2023- Nov, 2024 -
EFSET English Certificate 66/100 (C1 Advanced)
EF Standard English Test (EF SET)Feb, 2023- Nov, 2024 -
SQL: Data Reporting and Analysis
LinkedIn Learning 2Jan, 2022- Nov, 2024 -
Machine Learning with Python: Foundations
LinkedIn Learning 2Dec, 2021- Nov, 2024 -
Machine Learning with Scikit-Learn
LinkedIn Learning 2Dec, 2021- Nov, 2024 -
Python For Data Science Essential Training Part 2
LinkedIn Learning 2Dec, 2021- Nov, 2024 -
Analyzing Big Data with Microsoft R Server (audit track - final score 94%)
edXNov, 2017- Nov, 2024 -
Programming with R for Data Science (audit track - final score 94%)
edXNov, 2017- Nov, 2024 -
DL0120EN: Deep Learning with Tensorflow
edX -
Intro To Python for Data Science
DataCamp -
Introduction to R for Data Science (edX)
DataCamp
Experience
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Intecs
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Italy
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Engineering Services
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200 - 300 Employee
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Head of Machine Learning Lab
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Apr 2022 - Present
- Planning of activities and deadlines - Contribute to draft proposals for national and international projects (PNRM, ESA, EDF, bandi regionali e nazionali, etc) - Schedule and lead team meetings - Allocate the most appropriate human resources to the different activities - Monitor performances and workload of team members and intervene when necessary - Solve technical problems in undergoing projects - Identify and evaluate emerging technologies suitable for projects development and company innovation - Report to executives and stakeholders with meetings - Mantain relations with academic departments and propose research collaborations - Involved in all phases of the hiring process: prepare AI job openings, screen CVs, lead technical interviews - Managing and partecipating to the design of innovative national/international AI-based projects in the defence, automotive and railway fields: (1) automatic detection and DoA estimation of underwater acoustic signals acquired by submarine passive sonar, (2) obstacle detection and predictive maintenance at railway level crossing based on IpCam, and deployment on-field for experimentation, (3) 2D object countour detection, 3D shape reconstruction and object classification of target perturbing terrestrial magnetic field measured by a quantum magnetometer, etc etc Show less
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FlySight
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Italy
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Software Development
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1 - 100 Employee
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Data Science Manager
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Feb 2021 - Apr 2022
- Management of projects in the Defence, Civil and Energy Sectors - Design of cascade detectors and cascade classifiers for Condition Monitoring of High-Voltage power lines based on aerial Infrared and Visible images collected by helicopter - Design of a model based on CNNs for automatic vehicles detection from High-Resolution satellite and aerial images - Automatic target detection in onshore/offshore maritime scenarios based on single-stage and double-stage detectors - Design of custom Real-Time detectors Yolo-like with one or multiple output scales depending on target dimension and speed constraint, different implementations of feature fusion and different methods to increase the receptive field (downsampling, dilation) - Design of a multi-stage detector for defect detection on IR and Visible images of PV panels collected by Unmanned Aerial Vehicle (UAV) - Image dehazing by means of CNNs (DehazeNet, AODNet, MSCNN, etc), statistical methods (DCP, etc) and GANs (pix2pix, Dehaze-GAN, etc) - Image Super-Resolution based on CNNs - Re-implementation of research papers - Supervision of Master Thesis Students and team coordination - Partecipation to international European Defence Agency projects - Draft technical papers for conferences and peer review journals Show less
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i-EM
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Italy
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Services for Renewable Energy
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1 - 100 Employee
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Head of Data Science
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Jan 2019 - Feb 2021
Coordination of a Data Science team
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Senior Data Scientist
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Mar 2015 - Dec 2018
- Management of multiple technical projects- Use of advanced Machine Learning algorithms to develop Predictive Maintenance, Power Production Forecasting and Nowcasting Models applied to renewable energy plants (PV, wind)- Experience in State of the Art machine learning based algorithms applied to clustering, classification and regression problems- Design of Deep Learning models (CNN) in the Tensorflow framework and with Keras frontend for classification and detection of targets in the civil, defence and healthcare sectors- Design of multi-objectives Routing algorithms for Electrical Vehicles and optimization algorithms for managing battery recharging and balancing distribution network - Design of Big Data solutions based on Microsoft R Server (Microsoft’s paradigm “Computation to Data”)- Analysis of data from different systems, time scales and in complex format to discover trends and hidden relationships- Use of Data Science Techniques to infer from complex statistical modelling and to communicate data driven solutions in a clear and understandable way also to not technical audience - Design of Analytics Dashboard with Microsoft Power BI and R packages (Plotly, Shiny, Shinydashboard)- Identification and evaluation of emerging technologies suitable for projects development - Mentoring of Master Thesis, PhD and Big data Analytics Master students in the production of their dissertation, and junior members of the team in their professional growth- Present technical results to customers and technical audience in international scientific conferences and technical workshops- International Energy Agency (IEA) Task 16 Activity 3.2 Leader on "Regional PV Power Production Forecasting". Coordination of the activity with many academic and industrial partners involved.- Draft technical papers for international conferences and peer review journals- Draft proposals for international projects Show less
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Ingegneria dei Sistemi Real Time e Automazione (ISART) srl
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Pisa Area, Italy
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System & Software Engineer
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Sep 2012 - Mar 2015
The following activities were realized for Selex Electronic System or Whitehead Sistemi Subacquei: 1. Design of flight simulator for star tracker sensor mounted on satellite under the scientific mission Iridium 2. Development of algorithms (in collaboration with University of Pisa) aimed to improved the accuracy of star tracker sensor in the presence of warm pixels, taking into account the main noise sources (bax pixels, centroiding algorithm error, background noise, fixed pattern noise) and the constraints imposed by the available ASIC or FPGA and by the microprocessor in terms of memory and execution speed. Integration and assessment of the identified solution based on temporal filters and spatial filters in the Flight simulator. Presentation of results to customer 3. Design and maintenance of the Matlab sw for calibration of star tracker sensors 4. Development of a Matlab simulator for modelling the equipment proposed in patent WO2012046136 for the detection of 3D open airlines in a glass tube (in collaboration with University of Pisa) 5. Software unit testing of torpedo C software. Design and execution of unit tests of flight software of star tracker sensor (PROM and EEPROM modules). Tools: Cantata++ 5.3.1, IDE Eclipse 6. Design of C embedded flight sw of a Star Tracker Sensor under the scientific mission Meteosat Third Generation (handlers of new telecommands received in the PROM and EEPROM modules, definitions of subaddress descriptor area according to new telecommands, design of the time code format according to the CCSDS Unsegmented Time Code (CUC) format, etc). Tool: IDE Visual Studio 2008. Debugging: virtual machine Mandriva. 7. Design of the first version of the ASTR SW of Solar Probe Plus program: design of RS422 I/F for both PROM and EEPROM modules, management of telecommands (TCs) and telemetries according to RS422 FIFOs. TCs managed on interrupts previously are here handled directly in the ASTR access slot. 8. Drafting technical documentations Show less
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Italprogetti SpA
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Italy
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Industrial Machinery Manufacturing
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1 - 100 Employee
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Embedded Software Development, Automation and Data Acquisition Engineer
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Sep 2011 - Aug 2012
1. Development of supervision interfaces by means of the HMI supervision software CitectSCADA – Schneider Electric (more than 500 tags used in each project). Management of data archiving by means of Excel databases, ASCII Files, MySQL and SQL databases. 2. Development of SW (FPWin Pro) for Programmable Logic Controllers (PLCs, Panasonic) in the embedded domain using both structured text and ladder diagrams (more than 3k lines of code for each project). Definition of software specification, software structure and software control logic. Definition of the system requirements for the implementation of the software. Software design and implementation. Use of proportional-integral-derivative(PID) controllers for water pumps in order to tune the flow rate or the tank level to a reference point. Software verification, debugging and testing of the performances. 3. Main projects: Water treatment GTA plant (two trains, eight MBR modules) by using the Ultra-Filtration technology (Italy, both PLC and SCADA), River water treatment pilot plant by using the Ultra-Filtration MBR technology (Koch Industries Company, Italy). This project represents the first one developed in collaboration with Koch Industries 4. Representing the company abroad in meetings and exhibition (Germany, Holland) Show less
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Università di Pisa
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Higher Education
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700 & Above Employee
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Post-Doctoral Researcher
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Jan 2011 - Aug 2011
Researcher in the nanoelectronics field, in particular developing a single-particle Monte Carlo method (by means of C language) based on a full band approach for both electron and phonon dispersion subbands to investigate the high field electron transport limited by electron-phonon scattering in both suspended and deposited arm-chair graphene nanoribbon (A-GNR) on SiO2 and HfO2 substrates. Partecipation as an author in the deliverable D4.6 "Benchmarking of semi-classical and full quantum transport models for nanoscale FETs" of the Nanosil project (Silicon-based nanostructures and nanodevices for long term nanoelectronics applications) Show less
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Education
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2004 - 2007
University of Pisa
Master's degree, Physics -
2008 - 2010
Department of Information Engineering, Pisa
PhD in Electronics Engineering, Transport and Noise properties of silicon and carbon quasi- one dimensional devices -
1999 - 2004
University of Pisa
Bachelor of Science (B.S.), Physics -
1994 - 1999
Liceo Scientifico “A. Pesenti” (Pisa, ITALY)
High School degree, Physical Sciences
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