Welcome to Synerf
Synerf is dedicated to providing expert AI Strategy and Data Science consulting services. We empower businesses by offering critical insights and analyses on the latest industry trends.
Our distinctive strength is our dual expertise in data science and business consultancy. This unique combination ensures that the AI solutions we integrate are not only technically robust, but are also directly aligned with your measurable commercial objectives and business goals.
We translate technical potential into tangible business value.
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I am a Data Scientist and Certified Public Accountant (FCCA) with over 20 years of experience bridging the worlds of data, finance, and business strategy.
Before moving into data science, I built a strong commercial foundation as an accountant and business consultant, serving both local and international clients. My career included leading international business development initiatives and delivering high-impact presentations, which honed my ability to identify key business drivers and operational efficiencies.
This unique combination of accounting expertise, management consultancy experience, and technical data science skills allows me to help organizations navigate AI adoption, optimize operations, and unlock growth opportunities. I’m passionate about turning data into a strategic advantage for businesses ready to embrace digital transformation.
𝗘𝗱𝘂𝗰𝗮𝘁𝗶𝗼𝗻 & 𝗤𝘂𝗮𝗹𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀:
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Master of Science in Data Science – University of Malta
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BA (Hons) Accountancy – University of Malta
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Fellow of the Association of Chartered Certified Accountants (ACCA)
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Diploma in Taxation – Malta Institute of Taxation
Publications
AI and VR for Immersive Skills Training
The WAVE project presents an educational innovation integrating Generative AI with Virtual Reality (VR) to create adaptive, immersive training environments for complex skills, demonstrated in water-rescue education. The system dynamically generates diverse, personalized, and realistic scenarios, adapting to individual performance data to foster experiential learning and critical decision-making. The paper highlights promising outcomes for situational awareness and procedural accuracy, advocating for the model's scalability as a safe, personalized alternative to traditional skills training across higher education fields like healthcare and crisis management.
Published at the International Conference on Education, Research and Innovation 2025, ICERI2025
Track: Digital Transformation of Education
Predicting Movie Success with AI
This research applies Natural Language Processing (NLP) and Machine Learning (ML) techniques to movie scripts to predict future audience ratings (IMDb), offering valuable financial guidance to film producers. The methodology extracts and integrates multiple features, including linguistic characteristics, emotional arcs, script embeddings, and sentiment analysis statistics, which are then combined with cast and crew factors. Utilizing a forward rolling window training strategy, this approach provides a robust, data-driven method for sifting through and ranking script projects based on their likely box office and critical performance.
Published in the Journal Entertainment Computing, Vol 55, Sep 2025