Jorge Iguaran

Jorge Iguaran  new_releases

About

Detail

Data Scientist
Bogotá, Colombia

Contact Jorge regarding: 

Flexible work
groups
Networking

Timeline


work
Job
school
Education
folder
Project

Résumé


Jobs verified_user 0% verified
  • Neoris Colombia
    Data Scientist/Engineer public Remote experience
    Neoris Colombia
    Jun 2022 - Current (2 years 11 months)
    - Was part of the developing of a regression model to predict the strength of concrete passed 28 days, which is a very important aspect for the client (CEMEX). This implied the creation of multiple experiments for testing the inclusion of new features, different types of models (DeepLearning, XGBoost, Sci-Kit learn regressors) and different approaches to apply the predictions. Also, developed a monitoring dashboard of this process for the business. Understanding of many business rules were mandaroty to create these developments. - Developed a GenAI bassed system to automate the payment application process. This implied the developing ETLs to extract the information from the emails properly and the use of ChatGPT with the corresponding prom
  • Procalidad SAS
    Data Scientist public Remote experience
    Procalidad SAS
    Nov 2021 - Jun 2022 (8 months)
    - Developed ETL pipelines, machine learning models and analyzed large amount of data to extract high value insigths and optimize the performance of a new internal start up of the company. - Developed data visualizations and analysis to attend to customers needs.
  • Analitica SAS
    Machine Learning Engineer public Remote experience
    Analitica SAS
    Jun 2020 - Nov 2021 (1 year 6 months)
    - Developed a text classification model to predict the type and the dependency of attention of PQRSDs for the ministery of technologys of information and communications of Colombia (MinTIC) - Developed and deployed machine learning models and web interface to interact with them. Supported the backend team with developments and solving bugs. Also, give direct attention to our clients to identify technical requirements and monitor results.
  • I
    Electronic Engineer
    IRD
    Jun 2019 - May 2020 (1 year)
    - I participated in a research project where we designed and implemented a low-cost weather station with the aim of promoting Colombian agriculture.
Education verified_user 0% verified
  • Platzi
    Data Science School
    Platzi
    Jan 2022 - Current (3 years 4 months)
  • Platzi
    Artificial Intelligence
    Platzi
    Feb 2020 - Feb 2021 (1 year 1 month)
  • Universidad de los Andes
    Electronic Engineering
    Universidad de los Andes
    Jan 2015 - Apr 2020 (5 years 4 months)
Projects verified_user 0% verified
  • Universidad de los Andes
    Thesis project - Application of neural networks to predict the price of ecopetrol on the stock market
    Universidad de los Andes
    Mar 2019 - Dec 2019 (10 months)
    - I developed a deep learning model, using tools such as pandas, scikit learn, tensorflow and keras, whose objective was to predict the price of ecopetrol's shares on the stock market.