Columbian Career Recommendation System

In Colombia, I tackled a project to empower students! I built a career recommendation model using the ICFES dataset, a treasure trove of educational data. This model analyzed factors like Saber 11 or Saber Pro scores, which assess academic performance. By delving into this data, I gained insights into how the Colombian student population is geographically distributed. Even more impactful, the model leveraged these insights to recommend suitable career paths for students based on their strengths and Colombia's regional needs. This project aimed to bridge the gap between education and future opportunities for Colombian youth.