Meet the Team
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Introduction to Python for Data Analysis
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Meet the Team
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 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.
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.
Business & Operations
Head of Training Solutions
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.
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.
Senior Programme Coordinator
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.
Senior Account Executive
Elisa holds a degree in International Business and Management from the Edinburgh Napier University and since graduation, she has worked in customer-facing roles for industry leaders such as Darktrace and Spotify.
After joining Cambridge Spark in early 2019 as the very first Account Executive, Elisa is helping the company grow by creating great experiences for current and future students.
Business Development and Partnerships Manager
Tom originally trained as a tax accountant at a Big 4 firm, working mostly with fast-growing companies. Since then, he’s worked in a business development role, leading the firm’s work on helping UK scale-ups expand overseas and managing several key alliances as part of the go-to-market strategy.
He’s now excited to be exploring opportunities for Cambridge Spark to collaborate with even more innovative organisations around the world.
Customer Success Project Lead
Christina has years of experience in Marketing and holds a degree in Business and Human Resource Management. Hailing from Canada, but now based in Cambridge she has experience in business development, digital marketing and graduate recruitment.
As Account Executive, she will focus on the careers and talent side of the business helping to bridge the gap between our students and business partners.
Mathew joined the Cambridge Spark team in 2019 after graduating from Anglia Ruskin University and receiving a BSc (Hons) degree in Marketing.
Upon gaining marketing experience in the Hospitality industry, Mathew now works within the Marketing function at Cambridge Spark, managing the social media accounts and writing content.
Talent Solutions Manager
Mendisi has focused on all critical aspects of client engagement within recruitment and talent solutions.
He has worked in partnership with organisations advising on their recruitment strategy, approach, and ultimately providing the right solution to suit their needs.
Mendisi is adept at delivering specialists within Data Science, Machine Learning and Data Engineering thought UK and Europe collaborating with clients from industries that include finance, technology and logistics.
Zoe is passionate about working with those at the leading edge of business and technology and has coached and mentored individuals from a wide range of backgrounds, including teams at the University of Cambridge Judge Business School.
Zoe has a science background and advanced coaching qualification. She has worked in the education sector for over 8 years, primarily for the University of Cambridge and Cambridge Assessment working in Education Services, Teaching and Learning and Student Support Services.
Technology & Research
Guy Tamas Illes
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.
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 joined the team in September 2018. Coming from a background of UI / UX design prior to Cambridge Spark, she now works on improving K.A.T.E., always finding new ways to make the user’s journey as effortless as possible. Caroline was a freelance illustrator and front-end web developer back in South Africa with a passion for technology, animals, comic books and gaming.
Learning Content & Project Creator
Paul joined the team in June 2019, having worked for several years at a sports betting consultancy as a data analyst, and helping design applications for live football data monitoring and prediction.
He now drives value by developing and refining our course content and creating new projects on the K.A.T.E.® assessment and development platform.
Ed joined the team in February 2020, having completed his PhD in Machine Learning at the University of Edinburgh. He previously worked with us as a teaching fellow, but now contributes to our R&D as well as our commercial activities. His research focuses on behavioural profiling of students and building models to deliver interpretable insight for course instructors.
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.
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.
Senior Teaching Fellow
Ricardo is a Post Doctoral Research Associate at the Gatsby Computational Neuroscience Unit, UCL. He obtained his PhD from Imperial College London, during which time he also interned as a data scientist at Spotify.
Vice President at Morgan Stanley
David is a lead technologist working for Morgan Stanley’s Fraud Prevention Technology division. His main focus is delivering end-to-end analytics and AI solutions from model building to deployment, operating on a high-throughput real-time fraud prevention platform.
Previously he managed to bootstrap the department’s big data platform built on Apache Hadoop and Spark and was working as a technical architect on many projects on the areas of Trade Surveillance, Anti-Money Laundering and Regulatory Reporting. He likes reading, listening to weird music and learning about the next random thing he gets excited about.
PhD in Statistics
Helen is completing a PhD in Statistics at UCL and The Alan Turing Institute. She holds a BA in Mathematics from University of California, Berkeley and a masters in Statistics and Data Science from the University of Edinburgh.
Data Scientist at Deutsche Boerse
Eugenia is a Data Scientist working for Deutsche Boerse Group. Her main focus is on bringing machine learning solutions to the financial industry. She uses AI and NLP techniques to develop new products and improve internal processes. Her goal is to deliver end-to-end data science solutions from data acquisition to model building to deployment & operation. Since 2009 Eugenia worked for a broad spectrum of organizations ranging from large corporations such as Deutsche Bank to fin-tech start-ups to academic institutions. A committed professional with hands-on experience in machine learning, web development and data visualisation for the financial services and healthcare sectors. Elena is innovative and confident with a can-do attitude and outstanding communication skills.
PhD Researcher in Machine Learning and Physics
Ryan is a PhD Researcher in Machine Learning and Physics at the University of Cambridge. Prior to this, he was a Machine Learning Engineer at Prowler.io where he worked on Bayesian Optimisation and Bayesian nonparametrics. He also holds an MPhil in Machine Learning and Machine Intelligence. Outside of the ML sphere, Ryan is a Fide Master in chess, a keen runner, and has recently taken up Latin dance.
Machine Learning Engineer at Calipsa
Chris is a machine learning engineer working in computer vision at Calipsa. His interests are in Bayesian neural networks, reinforcement learning, variational inference and computer vision. Prior to this, he completed his MPhil in machine learning at the University of Cambridge. Chris also enjoys planting and working closely with artists on their ML projects.
Senior Machine Learning Scientist at Streetbees
Marc received a PhD with honours in Wireless Communications and Information Theory from Universitat Politècnica de Catalunya (UPC), where he obtained his MSc. Since 2015, he has worked as a Data Scientist for Zhilabs in Barcelona, providing in-depth data analytics to telco providers; Darktrace in Cambridge, UK, providing ML-based cybersecurity services; Eigen Technologies in London, providing ML and NLP based products and services, focused on extracting unstructured information from legal and financial documents; and Streetbees in London, providing market research and insights into communities by leveraging ML and NLP concepts.
Ashwin D. D'Cruz
Machine Learning Engineer at Calipsa
Ashwin D. D’Cruz is a Machine Learning Engineer at Calipsa. He holds an MPhil in Machine Learning, Speech and Language Technology from the University of Cambridge.
DPhil in Statistics and ML
Alan is currently undertaking a DPhil in Statistics and Machine Learning at the University of Oxford. He has a strong research interest in Statistical networks, Kernel methods, preferential learning and Graphical Neural Network. His current project is on combining insights from nonparametric modelling based on reproducing kernel Hilbert spaces (RKHS) with spectral methods for ranking, in order to integrate contextual information with the pairwise comparisons, facilitating the extraction of latent structures behind preferential data. Alan is also keen on bridging the gap between advanced Artificial Intelligence research and the business world. From his experiences as an ML consultant and the former Managing Director of a student-run AI consulting group, he has developed a strong skill set on mathematical modelling, project scoping, team management and designing functional teams for projects.
PhD at the University of Edinburgh
Alex is currently finishing his PhD at The Alan Turing Institute/University of Edinburgh. His interests include time series, graphical models, Bayesian methods, deep learning and meta-learning. Small data problems perhaps interest me more than big data problems, and grey box problems more than black box. Alex holds an MSc in Machine Learning and Computational Statistics from University College London.