About Cambridge Spark

About Us

Cambridge Spark is a leader in personalised Data Science training. We offer intensive bootcamps, apprenticeships and bespoke corporate training courses that are delivered by industry and academic experts, complemented by our proprietary AI-powered data science talent development platform, K.A.T.E.®.

Our Mission

Cambridge Spark was founded in 2016 by Dr. Raoul-Gabriel Urma (Cambridge University alumnus) and Dr. Chih-Chun Chen (Oxford University alumna). Cambridge Spark’s mission is to address a growing cross-industry demand for practical Data Science skills and to help individuals become more employable through personalised, adaptive and industry-relevant technical training. Our programmes combined have reached more than 4,000 people in over 20 countries.

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Our Team

Hanadi Jabado

Hanadi Jabado

Chairman

Hanadi is a strategic leader with a track record of delivering change and growth in academic, corporate and technology innovative fast-paced entrepreneurial environments. 
A passionate, committed and spirited professional, Hanadi’s experience in developing innovation clusters is globally recognised. She has helped set-up entrepreneurial ecosystems in the Middle-East, Russia and China. 

Dr. Raoul-Gabriel Urma

Dr. Raoul-Gabriel Urma

Founder & CEO

Raoul holds a PhD in Computer Science from Cambridge University and was nominated an Oracle Java Champion for his contributions to the community. He is an international speaker and best-selling book author. He has advised and worked for several organisations on large-scale software engineering projects including at Google, Oracle, eBay and Goldman Sachs.

Kevin Lemagnen

Kevin Lemagnen

CTO

Kevin has led the development of data products for the energy sector and worked for the telecommunications industry at Qualcomm. He was also a visiting researcher at Stanford University. Kevin has delivered data science and machine learning training courses to various clients from industries that include finance, engineering and research helping professionals leverage the latest techniques.

Dr. Chih-Chun Chen

Dr. Chih-Chun Chen

Advisor

Chih-Chun Chen is a research associate at the University of Cambridge. She holds a PhD in Computer Science from University College London and a bachelor’s degree in Psychology with Philosophy from the University of Oxford. She has worked for several large organisations, including Microsoft Research, Deutsche Bank, Yahoo Europe and e-skills UK (now the Tech Partnership).

Olivia Hughes

Olivia Hughes

Sales and Marketing Manager

Olivia joined the team after attending our very first programming courses and is the person to talk to about our Applied Data Science Bootcamps and what it’s like training at Cambridge Spark. She holds a degree in Design Innovation and Strategic Management from Victoria University and worked in user experience design. She also oversees our Web Design and Development.

Daniel Mitrovic

Daniel Mitrovic

Marketing Analyst

Daniel joined the team, roughly two years after attending one of our earlier intensive coding workshops. He holds a degree in International Business Strategy from Anglia Ruskin University and has a diverse background, ranging from retail, FinTech and Supply Chain Management.

Guy Tamas Illes

Guy Tamas Illes

Data Engineer

Guy Tamas Illes joined the team in August 2018 and is developing the team’s data pipeline to process the data flowing through our systems. Prior to that, he has worked at Morgan Stanley for 2 years developing high throughput, real-time fraud prevention services in close collaboration with Data Scientists. He holds a BSc in Software Development and is pursuing an MSc at the Birkbeck University of London in Advanced Computing Technologies.

Raj Rajarathinam

Raj Rajarathinam

Full Stack Developer

Coming from a background of Energy Data Analytics, Raj joined the company in 2018, and is developing the K.A.T.E application. He transitioned careers from an Economics field to Computer Science. Often talks about his dog.

Caroline Bleger

Caroline Bleger

Graphic Design and Front-end Web Developer

Caroline joined the team in September 2018. Coming from a background of UI / UX design prior to Cambridge Spark, Caroline was a freelance illustrator and front-end web developer back in South Africa with a passion for coding, character design, comic books and gaming. 

Efthymia Kazakou

Efthymia Kazakou

Full Stack Developer

Efthymia joined the team in October 2018 with a passion in EdTech and is developing the K.A.T.E. application. Prior to that, she worked as a backend developer at Imperial College London. She holds an MEng in Electrical and Computer Engineering and an MSc in Software Systems Engineering from UCL. Outside of work, she loves dancing, travelling and playing theatre.

Jules Wix

Jules Wix

Apprenticeships and Talent Manager

Jules is passionate about learning and development and has designed and led training programmes around the world for Booking.com. Having been part of the Cambridge start-up community since working for Cambridge Network and their School for Scale-Ups she is now supporting the Cambridge Spark team and managing their innovative apprenticeship programmes.

Judit Gorog

Judit Gorog

PA to CEO

Judit has 13 years’ experience as PA and Executive Assistant. Before joining Cambridge Spark she worked for organisations like the University of Cambridge, Cambridge City Council and Cambridgeshire County Council as a Senior PA / EA. With a BSc in Economics and many different PA and Secretarial qualifications.

Zaneta Sevcikova

Zaneta Sevcikova

Administrator and Marketing Assistant

Zaneta joined Cambridge Spark in early 2019. After finishing her studies and obtaining a bachelor’s degree in Accounting and Taxes, she gained experience in customer service, administration, finance and marketing within several educational organisations. She loves everything that involves travelling and exploring.

Anthony Clark

Anthony Clark

Commercial Manager

Anthony has led and developed commercial teams, delivering growth and organisational change for corporate and startup businesses. After completing a degree in Biotechnology and Strategic Management at the University of Edinburgh, Anthony managed operations, sales and marketing functionalities within the Food Retail and Agritech industries. He is a passionate leader, enjoying coaching others to help them reach their potential.

Dr. Ekaterina Kochmar

Dr. Ekaterina Kochmar

Senior Teaching Fellow

Ekaterina is a senior research associate at the Cambridge University Computer Laboratory, working on Automated Language Teaching and Assessment (ALTA). She conducted her PhD at the Natural Language and Information Processing group, Computer Laboratory. Her research focuses on compositional distributional semantics and the use of machine learning methods in educational NLP.

Sahan Bulathwela

Sahan Bulathwela

Senior Teaching Fellow and Researcher

Sahan Bulathwela is a PhD in Machine Learning at UCL. Before that, he worked as a Data Science Engineer at Skimlinks, where his primary focus was on building high-performance data pipelines for data processing and machine learning. He holds an MSc in Computational Statistics and Machine Learning from UCL. For his master’s thesis, he worked with a Research and Advanced Development team at Cisco Systems to adapt machine learning algorithms to Cybersecurity.

Tim Hillel

Tim Hillel

Senior Teaching Fellow

Tim is finishing his PhD at Cambridge University doing research in Transport Modelling, Machine Learning and Big Data. He was a visiting scholar at École Polytechnique fédérale de Lausanne and has worked in the R&D lab at Huawei Technologies.

Patrick Short

Patrick Short

Senior Teaching Fellow

Patrick is a PhD student in Mathematical Genomics and Medicine at Cambridge University and The Wellcome Trust Sanger Institute, and CEO of Heterogeneous, a startup based in Cambridge. His work focuses on analysing the role of non-coding mutations in developmental disorders, integrating a variety of diverse data sets including epigenetic marks, transcription factor binding predictions, and detailed clinical phenotypes with genome sequence data.