Experience

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  Hospital pablo tobón uribe

  Jul 2016 - Jan 2017

  Logistic intership

  • Evaluated the effectiveness of providers regarding errors in deliveries, using resourceful and different new technique. • Carried out activities related to inventory management: indicators, rotating inventories, and general inventories.• Evaluated obsolete supplies and performed removal actions, such as auctions or agreements with other Hospitals which increased my communicative skill.• Critically examined the process of distribution to intern services at the hospital and carried out improvement actions. Mostrar menos

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  Bancolombia

  Sept 2017 - Sept 2022

  • Implemented an ETL in partner with Fiserv- the provider who processed all the transaction and the data- for the payment area. The ETL was done through analytical tools like SAS Studio and Hadoop using SQL, reducing 70% of operation time.• Created and automated reports with dynamic dashboards for the payment area, managing to increasing 80% of its productivity.. This automatization was done with analytical tools like SAS Studio, Python and PowerBI.• Designed and led the process of third-party administration of a fiduciary business in a new inhouse tool.• Analyzed and managed the data migration process through analytical tools like Python) and Data lakes from the old software to a new software. Mostrar menos

  • Senior Analyst

    Jan 2022 - Sept 2022

  • Business Analyst

    Sept 2019 - Jan 2021

  • Project Analyst

    Sept 2017 - Jan 2019
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  Universidad de los andes - colombia

  May 2023 - Jan 2023

  Co-investigator

  • Performed bivariate and multivariate data analysis on the study: ‘Factors affecting low birth weight in Bogotá (Colombia), conducted jointly with Andes University and Bogotá Secretary of Health. Identified significant associations between socioeconomic factors and low birth weight prevalence across different regions of the city.• Built machine learning models using feature engineering, and supervised learning algorithms like logistic regression and random forest to predict low birth weight risks from maternal health data and deliver data-driven insights and policy recommendations. Mostrar menos

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  J.s. held llc

  Mar 2024 - now

  Bi developper