Might be available
(Updated 2023-07-12)Data Scientist - AI Ethical Scientist
Sessa Aurunca, Province of Caserta, Italy
Native Italian, English, Spanish, Intermediate French
- Artiicial Intelligence
- Machine Learning
- Data Science
Skills (12)
Natural Language Processing
Machine Learning
DATA ANALYTICS
Artificial Intelligence
DRAFTING
NLP
ADVANCED ANALYTICS
ANALYTICS PLATFORM
DATA SCIENCE
VISUALIZATION
SENSORS
REMOTE SENSING
Professional Experience
High Class Consultant Data Science and AI
Self employed
2023-07 - Present
Location: Remote Main Activity: ● Consultancy and project execution on data science, analytics and artificial intelligence; ● Consultancy on algorithmic transparency and ethical AI.
Technological stack used: Hugging Face, LangChain, OpenAI, Pinecone, Pytorch/Tensorflow.
Current clients: ● European Dynamics - Luxembourg; ● University College Dublin - Ireland.
Technological stack used: Hugging Face, LangChain, OpenAI, Pinecone, Pytorch/Tensorflow.
Current clients: ● European Dynamics - Luxembourg; ● University College Dublin - Ireland.
Contract Professor
OPIT
2023-07 - Present
Location: Remote Main Activity: Part-time professor in the Master of Applied Data Science and AI. Courses: ● Applied Artificial Intelligence; ● Ethics in Artificial Intelligence; ● Applications in Data Science and Artificial Intelligence.
Innovation Officer, Data Science and AI
European Parliament
2023-07 - 2023-07
Belgium Main Responsibilities: ● To lead the Data Science and AI team in the Innovation Unit of the European Parliament; ● Advisor for political parties in the definition of the AI Act.
Main Achievement: ● Led the development of the Advanced Data Analytics service (ADAS). ADAS is a hybrid AWS-based (Terraform, Pinecone, SQL, Docker) self-service analytics platform that enables the use of advanced analytics services for non-technical users. ADAS offers visualization services (PowerBI, Tableau, Superset), NLP services such as neural search (dbm 1), summarization (dbm), automatic document drafting and automatic document tagging (Hugging Face, Azure OpenAI), and gives support for code development (Huggingface Santacoder).
Main Achievement: ● Led the development of the Advanced Data Analytics service (ADAS). ADAS is a hybrid AWS-based (Terraform, Pinecone, SQL, Docker) self-service analytics platform that enables the use of advanced analytics services for non-technical users. ADAS offers visualization services (PowerBI, Tableau, Superset), NLP services such as neural search (dbm 1), summarization (dbm), automatic document drafting and automatic document tagging (Hugging Face, Azure OpenAI), and gives support for code development (Huggingface Santacoder).
Senior Specialist Machine Learning Applications
Europol
2023-07 - 2023-07
The Netherlands Main Responsibilities: ● To develop AI-based NLP software to support Europol investigations.
Main Achievements: ● Developed (dbm) a portfolio of AI and NLP models which helped derive critical intelligence for Europol investigations (On-premises GPUs, Hugging Face, PyTorch); ● Authored internal briefings on organizational structure for the establishment of the advanced analytics function within Europol;
Main Achievements: ● Developed (dbm) a portfolio of AI and NLP models which helped derive critical intelligence for Europol investigations (On-premises GPUs, Hugging Face, PyTorch); ● Authored internal briefings on organizational structure for the establishment of the advanced analytics function within Europol;
Adjunct Professor
TU Eindhoven and Tilburg University
2023-07 - 2023-07
Location: The Netherlands Main Activity: Part-time professor in the Master of Data Science and Professional Education. Courses: ● Introduction to Data Science; ● Machine Learning and Advanced Analytics.
Principal Data Scientist - CTO Office
TomTom NV
2023-07 - 2023-07
The Netherlands Main Responsibilities: ● To lead TomTom Group to achieve greater value and automation with Data Science and AI; ● To develop strategic and organizational company-wide initiatives to harmonize the AI capability across products and locations, to acquire new talents, and to educate management; ● To establish strategic partnerships with academia and technology providers; ● To support HR to define and to integrate Data Science and AI profiles in the organization.
Main Achievements: ● Led deep learning projects using remote sensing and satellite imagery increasing TomTom map quality of 30% (Tensorflow, Pytorch, internal NVIDIA GPU cluster); ● Led the development of machine learning systems for TomTom wearable sensors to monitor human activities with an increase of user acceptance of 43% (Python/C++); ● Led the design of an analytics platform for geospatial and IoT applications (Databricks, Apache Spark, Microsoft Azure); ● Established the Global TomTom Data&AI Community of Practice with 200+ members globally.
1dbm: done by me
Main Achievements: ● Led deep learning projects using remote sensing and satellite imagery increasing TomTom map quality of 30% (Tensorflow, Pytorch, internal NVIDIA GPU cluster); ● Led the development of machine learning systems for TomTom wearable sensors to monitor human activities with an increase of user acceptance of 43% (Python/C++); ● Led the design of an analytics platform for geospatial and IoT applications (Databricks, Apache Spark, Microsoft Azure); ● Established the Global TomTom Data&AI Community of Practice with 200+ members globally.
1dbm: done by me
Senior Data Scientist
Philips Lighting Research
2023-07 - 2023-07
The Netherlands Main Responsibilities: ● To lead the Data&AI team composed of Ph.D. and M.Sc. researchers to deliver insights for connected home-automation systems, retail analytics, and machine learning models for smart environment; ● To educate marketers and senior management in Data Science, Analytics and AI.
Main Achievements: ● Led the development of machine learning systems to detect anomalies in wireless mesh networks with 92% of F-Score; ● Led the development of machine learning systems able to learn users' behavior and to recommend personalized mood stabilizing environments achieving a prediction accuracy of 97%; ● Led the development of recommender systems for marketing campaigns which generated an uplift of +25% in response rates; ● Developed (dbm) insights on optimal placing of lighting in promotional areas in a major supermarket chain in Germany, generating an uplift of 40% in purchasing of promoted items.
Main Achievements: ● Led the development of machine learning systems to detect anomalies in wireless mesh networks with 92% of F-Score; ● Led the development of machine learning systems able to learn users' behavior and to recommend personalized mood stabilizing environments achieving a prediction accuracy of 97%; ● Led the development of recommender systems for marketing campaigns which generated an uplift of +25% in response rates; ● Developed (dbm) insights on optimal placing of lighting in promotional areas in a major supermarket chain in Germany, generating an uplift of 40% in purchasing of promoted items.
Lead Data Scientist
Holst Centre
2023-07 - 2023-07
The Netherlands Main Responsibilities: ● To lead the Data Science team of Ph.D. and M.Sc. researchers to develop hybrid cloud-edge solutions for wearable and Internet of Things applications.
● To manage the research roadmaps for clients such as Samsung Strategy and Innovation Centre (SSIC).
Main Achievements: ● Developed (dbm) the activity recognition and blood pressure module for the Simband health-watch subcontracted by SSIC in Menlo Park, California; ● Led the development of personalized machine learning systems for human behavioral monitoring using wearable sensors, smartphones and social media; ● Led the development of research projects for a machine learning system to monitor livestock using wearable sensors and drones.
● To manage the research roadmaps for clients such as Samsung Strategy and Innovation Centre (SSIC).
Main Achievements: ● Developed (dbm) the activity recognition and blood pressure module for the Simband health-watch subcontracted by SSIC in Menlo Park, California; ● Led the development of personalized machine learning systems for human behavioral monitoring using wearable sensors, smartphones and social media; ● Led the development of research projects for a machine learning system to monitor livestock using wearable sensors and drones.
Academic Background
Ph.D.
University of Barcelona
2008-01 - 2011-01
M. Sc.
Autonomous University of Barcelona
2008-01 - 2008-01
M.Sc.
University of Rome "la Sapienza"
2005-01 - 2006-01
B.Sc.
University of Rome "la Sapienza"
1998-01 - 2003-01