Who is a DataSpartan?
Every member of the team is educated to Masters, PhD, or above. We are exposed to a wide variety of clients, projects, tools and solutions. We are motivated by the difficulty of the challenge and the desire to be at the spear-point of an exploding industry of software, science and new knowledge. We source our talent from the world’s leading research and academic institutions. Every Data Spartan is treated equally, has direct input into the business and is supported with the opportunity to work, study, create new products or enterprises within our ecosystem.
How We Work
The experience, education and motivation of our team ensures we deliver every time we are engaged.
DataSpartan’s capabilities are not deﬁned by the technology stacks we use, but by our team’s imagination and ability to creatively solve impossible problems.
We are truly agnostic on the tools we utilise to achieve results. As experts in our craft, we simply pick the best systems for the job in hand, or adapt to the tools our clients present us with. Every member of the team is ﬂuent in multiple software languages and methodologies with experts available on hand for any major data, architecture and ML and AI systems.
Our Senior Team
CEO and Partner
PhD in Machine Learning,
University College London
Leslie is an expert in quantitative research, graph theory and efficient similarity search techniques. His previous work in locality sensitive hashing now powers Uber in obtaining similar trips. Before founding DataSpartan, Leslie worked with Bank of America, Commerzbank and Credit Suisse in Quantitative Research.
CSO and Co-Founder
PhD in Computer Science and AI,
University College London
David is a key leader in machine learning modelling, big-data ingestion and practical usage and application of AI systems. He says, “I am convinced that technology and automation will keep bringing solutions to the most challenging problems in society. Being part of the change is what keeps me and the Spartans moving.”
Amparo works to improve business performance through strategic and productivity initiatives at DataSpartan. She is currently President of the Spanish Association for Artificial Intelligence (AEPIA). As a Professor at Spain’s Universidad de A Coruña, she leads the Laboratory for the Investigation and Development of Artificial Intelligence (LIDIA). Amparo is the 1998 recipient of the prestigious L’Oreal-UNESCO Award for Women In Science in Spain.
Paul develops and implements growth and sales methodologies for leading global organisations. He is passionate about identifying new opportunities to combine new technologies with the global challenges clients want solved.
A former NASA engineer, Paco brings 10+ years leading innovative Data teams and 25+ years in the technology industry to DataSpartan. He is a Data Scientist for Concurrent in San Francisco and a Committer on the Cascading open source project. His background is in math, statistics and distributed computer. He has expertise in Hadoop, R, AWS, predictive analytics, machine learning, NLP, and is extensively published in both Data Science and AI computing.
Dr Victor Roris
Research Engineer and NLP Specialist
PhD in Telematics Engineering
With his ‘cum laude’ academic background and PhD in Telematics Engineering, Victor had 13 years experience within commercial R&D environments before bringing his specialist programming and NLP skills to DataSpartan.
The idea of DataSpartan was born from Leslie and David whilst working on different projects at University College London (UCL) and Credit Suisse.
DataSpartan is founded.
Automated Trading, Datascience and Quantitative Research project with Credit Suisse.
- Automated Statistical Arbitrage team at BNP Paribas
- Artificial Intelligence (AI) Improvement Technology at Morgan Stanley
- Women in Finance → Networking Events with Morgan Stanley
- Building a Data Lake and Financial Model Scenario at Santander
- Implementing Artificial Intelligence (AI) recommendation in Boston Consultancy
- DataSpartan becomes a partner of University College London (UCL) Centre for Blockchain Technologies
Building and applying cutting edge Machine Learning research with a number of later series Startup + Intel Technology on FPGA IP (Intellectual Property)
Implementation in Blockchain Solution for IOV42