Resume

Professional Profile

Data Scientist and AI practitioner with over 10 years of experience in implementing data-driven solutions across various industries. Proven track record in leading teams, developing data science strategies, and delivering substantial business impact through advanced analytics and AI applications. Serving as a Data Science Lead at IAG Loyalty. Submitted a PhD at the University of Nottingham that explores the integration of AI technologies in artistic practices, combining traditional techniques with cutting-edge computational methods.

Research Focus

My research examines the evolution and impact of AI in contemporary art practices, investigating how artificial intelligence challenges and enhances our understanding of creativity. Through both theoretical analysis and practical experimentation, I explore the motivations driving artists to engage with AI technologies and develop frameworks for understanding this emerging field. Combining the research in AI technologies with my personal artistic practice and professional projects.

  • The interface between analog and digital worlds in visual perception
  • Integration of AI technologies in traditional artistic practices
  • Development of frameworks for analyzing and categorizing AI art
  • Ethical implications and considerations in AI-driven creative processes
  • Audience engagement strategies for technology-enhanced artworks

Professional Experience

AI and Data Science

Data Science Lead - IAG Loyalty

2024 - Present

  • Lead AI and Innovation initiatives across multiple business domains
  • Implement and oversee data science technology stack
  • Drive adoption of MLOps and DevOps best practices
  • Mentor and develop team of data scientists
  • Collaborate with business stakeholders to deliver high-impact projects, including fraud detection systems and ML-based price strategy tools

Principal Data Scientist - Saga plc.

2021 - 2023

  • Contributed hands-on expertise to various use cases using advanced ML algorithms, including Fraud Detection, Reserve Efficiency, Inactive Claim monitoring, Complaint Reduction and root cause analysis using LLM, Audit identification of Vulnerable customer flags, control report for data quality audit
  • Managed team of four data scientists and engineers
  • Coached and mentored team members to foster a data-driven culture and enhance machine-learning proficiency
  • Designed and trained advanced generative AI models using PyTorch for various applications, including a search engine to find similarities through system-recorded notes for improved feature engineering

Senior Data Scientist AXA (Insurance)

2020 - 2021

  • Developed and implemented machine learning models for various applications such as Bodily Injury Offer predictive model and PII masking for document triage
  • Established a REST API to serve the model prediction in production and used PySpark and Databricks for ETL pipelines
  • Drive adoption of MLOps and DevOps best practices
  • Managed end-to-end data science life cycle, including continuous integration and deployment (CI/CD) using Azure DevOps and Databricks

Associate Lecturer & Research Associate - Goldsmiths University of London

2018 - 2020

  • Conducted research and teaching in machine learning, focusing on NLP, Large Language Models, and Generative AI
  • Assisted in leading machine learning projects and delivered a popular ten-week Machine Learning using Python course
  • Developed an educational game for Google Play that teaches students about molecular interactions

Additional Experience: 3D artist, Game programmer, Video Production

  • Two learning videos in collaboration with the De Agostini Editore which illustrates the procedure of painting of Leonardo da Vinci and Van Gogh
  • Worked with several clients including American Story Channel, 3D Printus Russia, Frankenstein Web Agency, Realmore, Carlton Publishing, CC English School, American Softwares Works

Additional Experience: Chief Accountant - Cascina San Cassiano | Italy (Commercial - Retail)

  • Managed accounting in a retail environment, implementing data-driven solutions to optimise business performance
  • Gained practical insights into retail and logistics, leveraging analytics to drive a six-fold increase in annual turnover

Education

  • PhD Candidate, Computer Science (AI Art), University of Nottingham Thesis submission 2024
  • Masters in Fine Art, Middlesex University, London
  • Nemo digital academy school in Florence
  • "painting in plein air" with Marc Dalessio
  • "Painting the human figure like the old master" workshop at the Angel School in Florence
  • "painting portrait in oil" with Adam Markovic in his Florentine studio
  • BA Economics, Università degli Studi di Torino
  • Private Study with Ettore Fico (1989-1999)

Technical Skills

Programming & AI/ML

Python, TensorFlow, PyTorch, PySpark, SQL, NoSQL, Microsoft Azure, Databricks, Snowflake, Azure DevOps, NLP, Deep Learning, AI, Rest API, Model Deployment, Graph Neural Network, Vector Database Embedding, Uplift Modeling, Causal Inference, Forecasting, Survival Analysis, Customer Segmentation, Large Language Model, LangChain, HuggingFace, Generative AI, Artificial Intelligence, Chroma DB

Exhibition History

Exhibitions

  • Cat Royale was presented as a time delayed video stream at the World Science Fair in Brisbane to an audience of over 400,000 people. Collaboration as part of the PhD (2023)
  • Creative Machine 2, Goldsmiths University, London (2018)
  • Artist in Residency, Bargehouse Oxo Tower London (2017)
  • Group exhibition at Imperial College in London (2017)
  • The Muse art Gallery in London (2017)
  • MA Final Show, Middlesex University London (2017)
  • Hidden, Group Exhibition, Majestic Studio Art Gallery (2017)
  • Purmundus Challenge Finalist, FormNext Expo, Frankfurt (2017)
  • Artrooms 2017, Melia White House, London (2017)
  • SiOTT Gallery, London (2016)
  • Art Gemini Prize Exhibition, Asia House, London (2016)
  • Wikiarte Bologna, "LE STAGIONI DELL'ARTE III edizione" (2016)
  • Collective Exhibition, Expart Gallery, Austria (2016)
  • HAY Festival, Collaboration with Paul St George (2015)

Awards & Recognition

  • Cat Royale has won the Webby People's Voice Winner for the 'Best Integrated Experience in the AI, Metaverse & Virtual' category (collaboration) (2024)
  • Finalist, Purmundus Challenge, Frankfurt (2017)
  • Shortlisted, National Open Art Competition, London (2017)
  • Shortlisted, Art Gemini Prize, London (2016)
  • Premio Nazionale Arte Alba città d'arte - Second Place (2005)
  • Premio Nazionale Arte Alba città d'arte - Third Place (2007)