F. Figueira is a Brazilian/Spanish data engineer living in Madrid and working on what he loves, trying not only to make a living with his skills but using them as a tool to help people and society.
F is passionate about AI at scale with a particular interest in ESG measurement, Spatio-temporal modeling, and cloud architecture. - His work experience is quite diverse and indeed ranges from software/computer engineering applied to the financial market, passing by high-performance computing in applied science, to cloud-based martech AI solutions. - All of that using a lot of data at scale, cloud tech, and different tools - so that he is always learning something new.
Currently, his work and collaborations combine proprietary research, predictive analytics, and data-driven market expertise to identify secular trends, thematic investment strategies, and mispriced investment opportunities throughout the real estate cycle.
New York UniversityMaster of Science - MS, Computer Engineering / 2017
Federal University of Rio de JaneiroMaster of Science (M.Sc.), Computer Science / 2015
Polytechnic School of UFRJBachelor of Engineering (B.E.), Computer Engineering / 2012
urbanData Analytics (Alantra Group)
Director of Data and Technology
Mar 2022 - PresentLeading the Data Dept. (18p) in the development and expansion of the Data Science, Engineering, and SAAS development teams. Hiring the best. This is a customer-oriented and strategic position, but very very technical.
Head of Data (CDO)
Sep 2021 - Mar 2022Responsible for Engineering, Science, and Data Capture teams (10p). Taking the leadership of the entire data value chain, focused on improving our AVMs (AI automatic valuation models) and excelling in business delivery, product and advisory lines support.
Head of Data Engineering
Jul 2021 - Mar 2022In charge of the Engineering team (5p) in the improvement of SRE and scaling-up data infrastructure, addressing new challenges, and improving the performance of AVM algorithms.
Data Lead (Madrid, Spain)
May 2018 - Jul 2021Leading the data science and engineering squads (7p) on the design, construction, and delivery of customer-driven machine learning and AI marketing solutions for major players in the Spanish retail sector.
- Deliver key analytics such as marketing/email, DMP, multi-touch attribution, and mix modeling.
- Support marketing analysis and campaign optimization hand in hand with the loyalty dept.
- Design, build and integrate cloud-based AI solutions for customer data platforms (GCP certified).
- Build and support tools for orchestrating personalized and real-time interaction journeys (RTIM).
- Executive presence. Experience and expertise selling to senior business decision-makers.
New York University - Polytechnic School of Engineering
Doctoral Researcher (NY, US)
Sep 2015 - Jun 2017Research on graphic design methods as well as the effective use of visualization methods and techniques to explore and interpret high-dimensional data. With Silva CT. and Freire J.
Los Alamos National Laboratory
CS Ph.D. Student Researcher & Scientific Collaborator (NM, US)
May 2016 - Aug 2017Work at the Applied Computer Science Division (CCS-7) on the research and application of in-situ visualization of natural phenomena such as wind tunnels in urban environments at scale. Case of study:“Exploring Spatio-temporal aspects of wind tunnels and real estate in New York City” with a quick urban& industrial complex (QUIC) Dispersion Modeling System.
COPPE / UFRJ
Research Assistant (Rio, Brazil)
Jan 2013 - Aug 2015Work at the High-Performance Computing Center (NACAD/UFRJ), with Mattoso M and A. Coutinho,on the research and application of uncertainty quantification visualization methods in computational predictive models for fluid dynamics using a workflow management system mainly applied over the offshore oil and gas industry.
Partner and Software Engineer (Rio, Brazil)
Jan 2010 - Jan 2014Build and support financial market software tools specialized in trading performance and asset management.
Summer Internship (Rio, Brazil)
Oct 2012 - Dec 2012R&D on visualization techniques for geophysics purposes, on top of the company's main software platform (Decision Space).
“Dynamic steering of HPC scientific workflows: A survey” M Mattoso, J Dias, KACS Ocaña, E Ogasawara, F Costa, F Horta, V Silva, … Future Generation Computer Systems 46, 100-113.
“User-steering of HPC workflows: state-of-the-art and future directions” M Mattoso, K Ocaña, F Horta, J Dias, E Ogasawara, V Silva, D de Oliveira, …, Proceedings of the 2nd ACM SIGMOD Workshop on Scalable Workflow Execution Engines and Technologies, 1-6.
“Exploring molecular evolution reconstruction using a parallel cloud based scientific workflow” KACS Ocaña, D de Oliveira, F Horta, J Dias, E Ogasawara, M Mattoso, Brazilian Symposium on Bioinformatics, 179-191.
“Using provenance to visualize data from large-scale experiments” F Horta, J Dias, KACS Ocana, D de Oliveira, E Ogasawara, M Mattoso, 2012 SC Companion: High Performance Computing, Networking Storage and Analysis, 1418-1419.
“Provenance traces from chiron parallel workflow engine” F Horta, V Silva, F Costa, D de Oliveira, K Ocaña, E Ogasawara, J Dias, …, Proceedings of the Joint EDBT/ICDT 2013 Workshops, 337-338.
“Prov-Vis: Large-scale scientific data visualization using provenance” F Horta, J Dias, R Elias, D Oliveira, A Coutinho, M Mattoso, Proceedings of the International Conference on High Performance Computing Networking, Storage and Analysis, 2013
Licenses & Certifications
Cloud Computing • Software Engineering • High-Performance Computing • Parallel Computing • Scientific Visualization • Scientific Workflows • Project Management • Algorithms • Databases • Python
Honors & Awards
Financial support to pursue M.S. in Brazil (CNPq, Brazil) - CNPQ / 2013
Fluent: English / Spanish