Oriol Brasco Garces
Data analyst
Analytics Product Owner @ GE Vernova
Agap2
Desde septiembre 2023
Barcelona
- Craft a compelling product vision and strategically prioritize features and functionalities, aligning with customer needs and market demands to deliver impactful and user-centric solutions.
- Manage analysis roadmaps and the entire cycle, overseeing data management and quality control.
- Oversee the development and management of analytical roadmaps, guiding the entire lifecycle while ensuring robust data management practices and maintaining the highest standards of data quality control.
- Efficiently manage and optimize the budget for new implementations and ongoing operational costs, ensuring financial discipline and alignment with strategic goals.
- Administer GitHub repositories and oversee the deployment and management of AWS servers, ensuring seamless version control and robust cloud infrastructure operations.
- Design and development of advanced machine learning algorithms for proactive failure detection and predictive maintenance scheduling, enabling data-driven optimization of operational efficiency and asset longevity.
- Continuously monitor and stay informed about industry trends and emerging technologies, ensuring the adoption of innovative solutions and maintaining a competitive edge.
- Skills used: Python, AWS, SQL, Kubernetes, Docker, Github, Tableau
Data Analyst & Analytics engineer
AGAP2
Julio 2022
a septiembre 2023
- Lead the development of analytics capable of predicting possible failures, maintenance dates, misalignments and other turbine points of failure, introducing innovative techniques where possible.
- Lead the development of analytics capable of predicting possible failures, maintenance dates, misalignments and other turbine points of failure, introducing innovative techniques where possible.
- Lead a continuous improvement monitoring for detection of possible defects or development of new features for the existing analytics, implementing an analytics lifecycle capable to adapt to a changing world.
- Lead a continuous improvement monitoring for detection of possible defects or development of new features for the existing analytics, implementing an analytics lifecycle capable to adapt to a changing world.
- Master data visualitzation tools to create usefull insights and KPI using PowerBI and Tableau.
- Master data visualitzation tools to create usefull insights and KPI using PowerBI and Tableau.
- Skills used: Interdisciplinary group management, Python, SQL, Azure, AWS, PowerBI, Tableau
- Skills used: Interdisciplinary group management, Python, SQL, Azure, AWS, PowerBI, Tableau
Project Manager & Data Analyst
DENN, Industries Puigjaner
Marzo 2020
a junio 2022
- Lead the innovation and development of applications capable of predicting trajectories, maintenance and status of machinery elements, given real-time and historical data obtained with a cloud of sensors including pressure, force, velocity and temperature. This was the starting point for the creation of machine learning algorithms to predict the quality of the final product.
- Lead the innovation and development of applications capable of predicting trajectories, maintenance and status of machinery elements, given real-time and historical data obtained with a cloud of sensors including pressure, force, velocity and temperature. This was the starting point for the creation of machine learning algorithms to predict the quality of the final product.
- The framework developed for the real-time and historical data processing led to the design and development of bespoke applications to improve the customer's interaction with products, such as automatically generated bi-annual detailed reports containing information that span from energetical consumption to machine wear and expected maintenance.
- The framework developed for the real-time and historical data processing led to the design and development of bespoke applications to improve the customer's interaction with products, such as automatically generated bi-annual detailed reports containing information that span from energetical consumption to machine wear and expected maintenance.
- Manage and lead the transfer process for a local Linux to a server hosted in AWS
- Manage and lead the transfer process for a local Linux to a server hosted in AWS
- Work on the implementation of AWS data lake and AWS deep learning AMIs to create algoritms capable of predicting future maintenance dates and possible issues.
- Work on the implementation of AWS data lake and AWS deep learning AMIs to create algoritms capable of predicting future maintenance dates and possible issues.
- Skills used: Project management, Interdisciplinary group management, Python, MongoDB, ReactJS, HDF5, AWS
- Skills used: Project management, Interdisciplinary group management, Python, MongoDB, ReactJS, HDF5, AWS
Full stack developer & I+D
APPlus IDIADA
Abril 2019
a marzo 2020
- In order to improve the interaction and the post-processing of the data obtained during different tests, a software application was designed for internal use to plot, extract and modify the data. This application is capable of processing large chunks of data (up to 60 GBytes per file) and to speed-up the post-processing, allowing the engineers in charge to more easily and accurately draw conclusions.
- In order to improve the interaction and the post-processing of the data obtained during different tests, a software application was designed for internal use to plot, extract and modify the data. This application is capable of processing large chunks of data (up to 60 GBytes per file) and to speed-up the post-processing, allowing the engineers in charge to more easily and accurately draw conclusions.
- The detection of phenomena is important in real-time tests so the test engineer can adapt to the conditions. An algorithm was designed and implemented to detect these phenomena and send instructions to the lead test engineer. This led to more accurate tests and time reduction.
- The detection of phenomena is important in real-time tests so the test engineer can adapt to the conditions. An algorithm was designed and implemented to detect these phenomena and send instructions to the lead test engineer. This led to more accurate tests and time reduction.
- Skills used: Project management, Interdisciplinary group management, Python, Matlab
- Skills used: Project management, Interdisciplinary group management, Python, Matlab
Back-end developer & I+D (Internship)
Quiside Industries S-L
Mayo 2018
a noviembre 2018
- The main goal was to refactorize and integrate a code interacting with a FPGA (Field Programmable Gate Array) dispositive. The code performance and the interaction with the user was improved. Later on, this code was used in the investigation and developing tasks. This improved code was later used in the investigation and development of other tasks.
- The main goal was to refactorize and integrate a code interacting with a FPGA (Field Programmable Gate Array) dispositive. The code performance and the interaction with the user was improved. Later on, this code was used in the investigation and developing tasks. This improved code was later used in the investigation and development of other tasks.
- Investigation and implementation of Monte Carlo simulations in finance and fluid dynamics, using the improved code mentioned above. Monte Carlo simulations use random numbers to numerically solve problems that are too difficult to solve with conventional analytical methods, problems such as fluid dynamics, where there is not an analytical solution.
- Investigation and implementation of Monte Carlo simulations in finance and fluid dynamics, using the improved code mentioned above. Monte Carlo simulations use random numbers to numerically solve problems that are too difficult to solve with conventional analytical methods, problems such as fluid dynamics, where there is not an analytical solution.
- Skills used: C++, Python, Microsoft Project, LaTex, OpenFoam
- Skills used: C++, Python, Microsoft Project, LaTex, OpenFoam
MSc in Computational and Mathematical Engineering (ICyM)
Universitat Oberta de Catalunya & Universitat Rovira i Virgili, (UOC & URV)
Desde noviembre 2020
Interdisciplinary training in the areas of engineering and applied sciences. The ICyM programme includes current issues such as: computer modeling and simulation, numerical methods, parallel and distributed computing applied to high-end performance machines, knowledge representation, networks and graphs, heuristic optimization, artificial intelligence, dynamics systems, differential equations, computational fluid dynamics and Big Data.
Aerospace Systems Engineering
Universitat Politècnica de Catalunya, Escola d'Enginyeria de Telecomunicació i Aeroespacial de Caste
Septiembre 2015
a junio 2019
Specialized in Avionics, communication, Navigation and Surveillance Systems (CNS) and Air Traffic Management (ATM). Advanced knowledge of navigability, communication, geolocation and observation satellites, space engineering, electronics, aerodynamics, flight mechanics and flight control systems. Experience in route planning, airspace management and the implementation, development and maintenance of ATM and CNS systems, aerodynamics and computational fluid dynamics. High level of programing and critical thinking.
Bachelor's thesis: Water Tunnel Study, Design and Commissioning
Bachelor's thesis: Water Tunnel Study, Design and Commissioning
Competencias
Developer tools
-
Python
Experto
-
C++
Avanzado
-
C#
Apto
-
C
Apto
-
Django
Apto
-
ReactJS
Apto
-
MongoDB
Apto
-
SQL
Avanzado
-
CAD
Avanzado
-
CFD
Experto
-
CFX
Avanzado
-
Kubernetes
Avanzado
-
Docker
Avanzado
-
Tableau
Avanzado
Engineering Tools
-
Matlab
Avanzado
-
OpenFoam
Apto
-
Solid Works
Avanzado
-
Ansys
Avanzado
-
Paraview
Avanzado
-
Qblade
Avanzado
-
LaTex
Avanzado
-
Office
Experto
-
AWS
Avanzado
-
PowerBI
Avanzado
-
Tableau
Avanzado
Idiomas
-
Alemán
IntermedioGoethe A1 Deutsch Certificate
-
Inglés
AvanzadoFirst Certificate
-
Catalán
ExpertoNative
-
Español
ExpertoNative
