Between 2014-2018, I've led AI research lines for Predictive Analytics at NEC Research Labs (Heidelberg, Germany), 2018-2020, where I led ~15 braves on developing ML applications for Consumer Loan business (e.g.: credit scoring) as Head of Data Science at Monedo (Hamburg, Germany) (ex-Kreditech). Currently, I am Head of Data Science at Finiata leading all Data processes and teams on bringing ML-based products for Business Lending to reality.
My main interests are: Supervised Learning (Classification/Regression/Time Series Analysis), Adaptive Learning systems (to learn from non stationary distributions) and Automated Machine Learning (AutoML) - i.e., to learn how to develop different ML pipelines tailored to different projects/verticals on a fully automated fashion. On the application side, I am interested on Financial Services (5 yrs. exp.), followed by Transportation (9 yrs. exp.) and Retail/E-commerce.
Together with the amazing collaborators that I had the opportunity to work with in my professional career, I've developed prototypes over my own novel learning frameworks using mainly R and, lately, Python over AWS Cloud tech stack. Occasionally, I've also used /C/C++.
Nowadays, I focus more on Data Science Management and Data Executive/Strategist roles. Firstly, this implies to create, roll-out and oversee an organization-wide data processing strategy and a regulation-compliant roadmap for its monetization (with proprietary ML technology and in-house R&D). Secondly, I am focused on how to hire, groom and retain exceptional Data Science talent, as well as to manage, supervise and organize them to deliver on-time product-grade software which enables the deployment of our ML frameworks. For additional information, please check my CV.
Thank you for visiting my personal homepage!
Contacts: luis.moreira.matias[at]gmail.com .::. (+49) 152 52902933
14/12/2020 - My pioneer work on predicting mobility patterns for on-demand transportation networks as been rewarded with the George N. Saridis Best Transactions Paper Award (2016 vintage)!!!
06/12/2020 - I just got a new patent granted on Automated Scalable Co-Clustering! This system - with applications to Biology and Retail - is able to find clusters under certain contexts/subfeature spaces! Check it out here!!!
14/09/2020 - I just got invited to be part of the Program Committee of AAAI 2021!!!
06/09/2020 - The Part 1 of my first technology blog post Zero-Stack Data Scientist" is out!
12/08/2020 - I am #keynoteSpeaker of Bremen.AI's Data Lounge, next 26/08/2020, 18:00 CEST!
31/03/2020 - I just got invited to be part of the Program Committee of Demo Track of ECML/PKDD 2020!!!
21/02/2020 - I just got invited to be part of the Program Committee of CIKM 2020!!!
13/02/2020 - I am #keynoteSpeaker of Data Science UA Conference 2020! Stay tuned to know more!!
22/01/2020 - I just got invited to be Senior Program Committee member (Area Chair) of ECML/PKDD 2020!!!
30/10/2019 - I just got invited to be Sponsorship and Industrial Track Chair of ECML/PKDD 2020!!!
22/10/2019 - I just got invited to be part of the Program Committee of ISMIS 2020!!!
20/07/2019 - I am #keynoteSpeaker of It Arena 2019! Stay tuned to know more!!
12/07/2019 - I just got a paper accepted on IEEE T-ITS about Trajectory Prediction!!!
20/06/2019 - I just got a paper accepted on ECML/PKDD 2019 about Reject Inference in Credit Scoring!!!
26/04/2019 - I just got invited to give a keynote about Kreditech's latest Data Science R&D topics at LIAAD, INESC TEC, next 02/05/2019 (15:00)!!!
02/04/2019 - I just got invited to be part of the Program Committee of ECML/PKDD 2019!!!
06/03/2019 - I just got invited to be part of the Program Committee of IEEE ITSC 2019!!!
27/02/2019 - I just got invited to give a keynote about the current status of Data Science in Industry at Meetup.AI @ Hamburg, next 06/03/2019!!!