Luciano Tarsia

Experience

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  Telefónica

  Jan 2020 - Feb 2020

  JR Analyst - Big Data

  Conducted statistical and computational data analysis on a large customer data set to reduce the dimensionality of a predictive model and lower its bias, leding to a increase in accuracy.Compared behavior trends between groups of customers using statistical analysis and data visualization techniques. Identified significant differences and made recommendations.

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  Technisys

  Oct 2021 - Jan 2023

  Full stack Developer

  As a software developer at Technisys, I participated in the development of digital banking solutions for financial institutions. After completing external and internal training on relevant technologies and tools, I worked on teams that implemented projects for Banco Davivienda in Colombia and HSBC in Uruguay.In this role, I collaborated with UX designers, project managers, and other developers to build responsive and secure web and mobile applications. I also conducted code reviews and implemented best practices to ensure high code quality and maintainability.In addition, I developed skills in web and mobile development, and software engineering, which have been valuable in my career growth. Show less

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  Instituto de Ciencias de la Computación

  Mar 2023 - Feb 2024

  Research Intern in Applied Artificial Intelligence

  As a member of a research team, I collaborate with specialized doctors in the research and development of a machine learning model. Our primary focus is to process bronchoscopy videos and accurately determine the specific location within the bronchial tree in a given frame.Internship under LIAA (https://liaa.dc.uba.ar/)

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  MUTT DATA

  Mar 2024 - now

  Data Scientist

  As a Data Scientist, I am dedicated to the training and optimization of artificial intelligence models. I collaborate with multidisciplinary teams to improve model performance and support their implementation in production environments, ensuring that solutions meet business requirements. I have worked on the implementation of recommendation and forecasting models, among others.Additionally, I participate in data extraction, processing, and analysis, developing pipelines and ETL processes that facilitate the efficient handling of large volumes of information. With advanced knowledge in Python and SQL, and experience with processing tools, I contribute to the development of scalable solutions and the resolution of complex problems. Show less