Juan Felipe Campuzano Zuluaga

Juan Felipe Campuzano Zuluaga  new_releases

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Machine Learning Engineer at Prosalon Distribuciones
Bogotá, Bogota, Colombia

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Résumé

Jobs verified_user 0% verified
  • C
    Machine Learning Developer public Remote experience
    Coally S.A.S.
    Feb 2023 - Current (3 years 3 months)
    - Plan, develop, deploy and monitor the company's core ML model, used to match jobs with Latin American professionals. - Be the link between the HR logic (advisor) and the IT product. - Build the learning path model used to recommend to people the courses they should take based on their objectives. - Build a matchmaking model for a networking event.
  • Prosalon Distribuciones
    Machine learning engineer public Remote experience
    Prosalon Distribuciones
    May 2022 - Current (4 years)
    - Develop, deploy and monitor the company's ML models. - Develop the sales forecast model at the SKU level, used to plan the company's budget. In 2022 MPE of 2%. - Develop the inventory forecast model, used to plan the supply chain strategy. MPE of 1.4%. - Build a recommendation system for products used in stores to complement the technical knowledge and in the online store. - Develop price optimization model, used to plan the price change of the company. - Develop churn prediction model, used by the CRM to send notifications. - Develop customer clustering model, used to feed the CRM. - Work in the area of experiments, bringing innovation to the company.
Education verified_user 0% verified
  • Universidad de los Andes
    Msc, Inteligencia artificial
    Universidad de los Andes
    Aug 2023 - Current (2 years 9 months)
  • Deeplearning.ai
    Deep Learning
    Deeplearning.ai
    Apr 2023
  • Deeplearning.ai
    Machine Learning Engineering for Production (MLOps)
    Deeplearning.ai
    Mar 2022
  • Universidad de los Andes
    Ingeniería electrónica
    Universidad de los Andes
    Jan 2018 - Dec 2021 (4 years)
Projects (professional or personal) verified_user 0% verified
  • Universidad de los Andes
    Desarrollo de metodología de comparación para distintos métodos de detección online de falla de un sistema fotovoltaico
    Universidad de los Andes
    Aug 2021 - Dec 2021 (5 months)
    The presence of faults of a different nature in photovoltaic systems is a common problem which causes significant economic and environmental damage. Therefore, it is crucial to identify them as soon as possible in order to mitigate the adverse effects. First, we designed a monitoring system for PV arrays. This device would allow us to capture environmental data and electrical variables in real time. Then, we implemented various Machine Learning methods separated into two groups: detection and classification. The first group gathered methods to detect annomalies in the system and the second group gathered methods to classify the annomalies. Finally, the validation and comparison between the different methods was carried out, based on the res
Awards verified_user 0% verified
  • Ministerio de Educación Nacional, Colombia
    La noche de los mejores
    Ministerio de Educación Nacional, Colombia
    Dec 2022
    - Top 1% score Mejores puntajes a nivel nacional en el Examen de Estado de Calidad de la Educación Superior - Saber Pro, practicado por el ICFES en 2021.
  • Ministerio de Educación Nacional, Colombia
    La noche de los mejores
    Ministerio de Educación Nacional, Colombia
    Nov 2017
    - Top 1% score Mejores resultados en el examen de estado de la educación media saber 11°