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Oriol Brasco Garces

Data analyst

Status profesional
Asalariado
Disponible
CV creado en DoYouBuzz

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 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.
    • Skills used: Interdisciplinary group management, Python, SQL, Azure, AWS, PowerBI, Tableau
Detalles sobre la experiencia
  • Working hand to hand with General Electric Renewable energy team.

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.
    • 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
    • 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

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.
    • 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

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.
    • 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