Msc. Carlos Mougan

Marie Sklodowska-Curie Fellow (Feb 2021 - Now)

University of Southampton, Electronics and Computer Sciences, United Kingdom

Early Stage Researcher: Explainable Machine Learning

European Central Bank, ECB (Feb 2020 - Feb 2021)

Statistician Trainee, Securities & Financial Market Data, ECB, Frankfurt am Main, Germany

Statistician: Monitoring the quality of statistics on the balance of payments and international investment position, as well as methods and sources in EU Member States

Machine Learning Engineer: Developed multiclassification neural network for the National Central Banks and European System of Central Banking

Consulting Management:Working alongside consultans for a Data Science project.

Barcelona Supercomputing Center, BSC (April 2019 - Aug 2019)

Research Data Scientist, Data Centric Computing , BSC, Barcelona, Spain

Project: I was involved in two research projects, the first one: trying to predict ship trajectories and optimizing it parking in the Barcelona Harbor. The second one a more theoretical one tackling Automatic Feature Generation for Generalized Linear Models though Decision trees ensembling.

Abstract: This research line explores the use of Learning Techniques to different domains, from data centre optimization to cancer genomics, leveraging different techniques from statistical Machine Learning to state of the art Deep Learning and Neural Networks, and different programming frameworks.

IIIA - CSIC (Jan 2019 - Jul 2019)

Deep Learning Research Assistant, Artificial Intelligence Institute of National Research Council, Barcelona, Spain

Project: My research focused on improving Generative Adversarial Networks with prior knowledge via hard constraints in order to tackle large scale optimization problems (Operations Research). Supervised by Juan Antonio Rodriguez Aguilar and Filippo Bistafa.

Abstract: Improving and applying Generative Adversarial Networks (GANs) to approach large scale combinatorial optimization problems.

Deloitte Robotics (Dec 2017 - Aug 2018)

Technological Consultant, Robotics Center of Excellence, Madrid, Spain

Team Leader: Coordinated a team of two developers, a machine learning engineer and two data analyst applying Cognitive Automation (CA) to the Audit Process. Implementing Machine Learning to the extraction (OCR) and the classification of unstructured data with WorkFusion. I took part in the delivery of the project where we were able to improve the efficiency and effectiveness of their operations by a 70%.

UiPath Trainer: UiPath trainer to the international Deloitte’s team of Belgium and Netherlands.

Naoqi Developer:Developing functions for the robots of SoftBank Pepper and Nao for commercial and marketing purposes. We collaborated in events and workshops were Pepper was in charge of ’chairing’ and introducing the speakers

Uipath Developer:Developer for a leading national banking company where we automated two processes. In the delivery of the project we obtained automation of a 100% and an 80% respectively, allowing workers to focus on more creative tasks.

Uipath Developer:Main developer in a client of the insurance sector. In the project, we automated the exchange of information and payments for different banks.

AEMET, Agencia Estatal de Meteorología (Sept 2017 - Dec 2017)

Modelling Intern , National Meteorological Agency, Madrid, Spain

Project: Impact of the Meteorology in the tropospheric Ozone concentration

Abstract: Prediction and Modelling Department with a University collaboration where I modelled and predicted the atmospheric pollution of the northern side of Italy (Biella).

The Alan Turing Institute(2019)

Data Study Groups - Data Science Facilitator

Description: With the Alan Turing Institute and the University of Bristol (Jean Golding Institute) I was a Data Science Facilitator for the Data Case Study Group with a team of 10 researchers and Data Scientist tackling air pollution and traffic for the Bristol City Council.

Authors: Laurens Geffert, Ahmad Abd Rabuh , Qian Fu , Siddharth Dixit , Jojeena Kolath , Hyessop, Huan Tong, Caitlin Robinson & Carlos Mougan

Boston Consulting Group Gamma Datathon(2018)

1st Place

Authors: David Masip, Marc Fuster , Bruno Lansac & Carlos Mougan

IEEE-CIS Fraud Detection Kaggle(2019)

Bronze Medal

Authors: David Buchaca, Marcel Aguilar Garcia , Andrew Clancy & Carlos Mougan

SpainML(2019)

1st Place at Fraud Detection

2nd Place at Telco - Churn

Accenture Digital Datathon(2019)

3rd Place

Authors: Lawrence Adu-Giamy, Lidia Almenara , Adriá Fenoy & Carlos Mougan

Data Science Stack Exchange(2020)

Top 2 User of 2020

Description: Data Science Stack Exchange is a question and answer site for Data science professionals, Machine Learning specialists, and those interested in learning more about the field. The DataScience SE is about the problems and doubts which data scientists encounter on a regular basis like "how do you run neural networks on a cluster efficiently?" or "How do I efficiently setup a MachineLearning process on a server"

Towards Data Science(2020)

Editor Associate and writter

Description: • Review and edit articles • Work with writers to improve their writing and style • Collaborate with international team members to ensure high quality, topical material is published daily