About Us 2018-11-27T14:27:59+00:00

Making customer experience more compelling, more personal, and more informed

By using machine learning to understand individual customer preferences and build tools that make these insights actionable at scale, we want to improve customer experience for everyone’s benefit. Since launching in 2015, we have gone on to work with leading companies from across Europe – including BNP Paribas, Hello bank! Belgium, and Tinkoff bank – and receive numerous accolades, winning the BNP Paribas International Hackathon and being accepted into the prestigious Techstars accelerator programme. From Finance and Telecom to Retail and Automotive, DataSine helps companies connect with their customers personally.

Your CustomersDifferent customers

Like many companies, DataSine was born out of a personal bête noire. I was tired of receiving generic marketing emails that didn’t resonate with me and where it was clear no effort had been made to understand me as an individual. Inspired by my PhD in Psychology and Computer Science, I set out to change this and created DataSine.
Igor Volzhanin

Meet the team

Igor Volzhanin


Igor founded DataSine in 2015 after moving to London to do a PhD in Psychology and Computer Science. Prior to that he spent five years working in international development. A relentless innovator, he is passionate about bringing his research to life and helping companies build meaningful relationships with their customers.

Chris Loy


Chris has spent ten years in product development and software engineering, having led large engineering projects within leading technology teams across London, including at Ocado and the BBC. He holds degrees in Physics from Oxford and Machine Learning from UCL, with research efforts focused on using deep learning for complex frequency analysis. He has commercial experience spanning distributed system design, high-traffic web architectures, big data analysis and real-time engineering.

James Gin

Chief Scientist

James has degrees from both Oxford University and UCL in Physics and Machine Learning, and has spent years working with large financial datasets and systems. He has five years of financial modeling and commercial business analytics experience, and has led the development of real-time financial risk management systems in live trading environments. James blends practical industry knowledge and applied machine learning techniques to find powerful insights in complex datasets.

Jergan Callebaut

Head of Psychology

Jergan is a Brussels-born psychologist, registered with the British Psychological Society and with degrees in both Clinical Psychology and Business Psychology. Prior to joining DataSine, he has worked as a consultant and researcher across the Belgian banking industry and for several European multinationals. His research at DataSine focuses on a range of topics within the fields of Individual Differences and Personality.

Dea Bankova

Data Scientist

Dea has a Master’s degree in Mathematics and Computer Science from Oxford University and wrote her thesis in a field combining natural language processing with quantum computing. She previously worked at Microsoft as a Technical Account Manager and Data Science Consultant. Dea is responsible for building the machine learning models that power Pomegranate.

Jenny Wem

Front End Engineer

Jenny brings to DataSine a bachelor’s degree in Illustration and a master’s degree in Contemporary Art Theory from Goldsmiths. A true artist at heart, she spent time as a freelance artist and gallery assistant before learning to code and working in tech consultancy. Specialising in front-end development, Jenny is passionate about uniting design and tech.

Abhishek Chanda

Software Engineer

Abhishek studied computer science in India and electrical engineering at Rutgers in the US. He has been working on distributed systems since 2008 at companies like Microsoft as well as smaller startups. A hugely experienced engineer, he is responsible for the scalable and flexible deployment infrastructure powering the backend systems of DataSine’s analytics platform. He loves to explore new technologies. Recently, he has been so fascinated with Rust that he ended up writing a book on it!

Costas Kiteou

Software Engineer

Costas is trained as a Full Stack Web Developer and also holds a 1st Class Honors Degree in Business & Marketing. Coming to DataSine after 7 years at The English National Opera followed by 6 years at The Hackett Group, he is a Makers Academy Graduate, responsible for building out our product offerings.

Tatiana Iakovleva

Marketing Specialist

Tatiana has a keen interest in consumer behaviour. Holding an MSc in Management Science and Marketing Analytics, she has a deep understanding and appreciation of the value of personalisation and data-driven decision making. Insights into the needs and expectations of global enterprises gained from her time at Lego and Sanofi make her ideally placed to support the campaigns of our growing Russian client base at DataSine.

Tim Williams

Data Scientist

Tim builds the machine learning models that predict personality and content appeal. He became fascinated with data science once he saw the magnifying effect it has on human productivity, allowing teams to extract more knowledge and insight from data to improve their business decisions. Tim previously worked as a Data Science instructor at General Assembly and spent over six years handling operations for FromVineyardsDirect – a leading UK wine retailer.

Lauren Pak

Assistant Product Manager

Lauren works closely to our Tech team to structure the product workflow. She enjoys bringing different stakeholders to life on the storyboard and balancing priorities so our product is community-informed as well as commercially viable. She recently finished her MSc. in Social Policy (Research) at the London School of Economics that gave her a good foundation for designing UX processes.

The DataSine office


20 Ropemaker Street