F. Figueira
F. Figueira, a Brazilian/Spanish data engineer currently living in Madrid, blends solid academic knowledge with diverse professional experience. His educational background includes master's degrees in Computer Engineering and Computer Science, and advanced doctoral research in AI at scale at New York University. F. Figueiras's roles at urbanData Analytics and Deloitte Digital highlight his ability to lead teams and innovate in cloud-based AI.
F. Figueira has a track record of working with large amounts of data, which is very important in fast-moving tech fields. He's good at both the technical side and planning for the future, as seen in his work during the recent years. He has a knack for developing AI tools that meet customer needs, making things that are effective and easy to scale.
Contact
Work: ff@urbandataanalytics.com
Personal: felipe.f.horta@gmail.com
Linkedin: /in/fhorta
Resume: Download link
Education
New York University
Master of Science - MS, Computer Engineering / 2017Doctoral Reseach / 2015-2017
Federal University of Rio de Janeiro
Master of Science (M.Sc.), Computer Science / 2015Polytechnic School of UFRJ
Bachelor of Engineering (B.E.), Computer Engineering / 2012Experience
urbanData Analytics (Alantra Group)
Director of Data and Technology
Mar 2022 - Present
Leading 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 2022
Responsible 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 2022
In 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.Deloitte Digital
Data Lead (Madrid, Spain)
May 2018 - Jul 2021
Leading 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 2017
Research 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 2017
Work 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 2015
Work 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.Inoa
Partner and Software Engineer (Rio, Brazil)
Jan 2010 - Jan 2014
Build and support financial market software tools specialized in trading performance and asset management.Halliburton
Summer Internship (Rio, Brazil)
Oct 2012 - Dec 2012
R&D on visualization techniques for geophysics purposes, on top of the company's main software platform (Decision Space).Scholar
“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
Associate Cloud Engineer - Google
Issued Jul 2020 - Expires Jul 2022Skills
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
Languages
Native: Portuguese
Fluent: English / Spanish