Hi there, I'm

Jesús Soto

Economist
About me
Jesús Soto
About Me
🙋🏻‍♂️ Hello! I am Jesús, an economics student at the Faculty of Social Sciences of the Pontifical Catholic University of Peru. I am a proactive, persevering person, with analytical skills and motivated by continuous learning. I am passionate about Data Science and anything related to technology. Currently, I’m working as a Portafolio Monitoring Intern at Interbank where I’ve learning a lot of data management.

🎯 My goal is to develop my professional career in the data science field, being part of a company that allows me to apply everything I have learned so far and continue to grow both personally and professionally to achieve the best results.
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Skills
Python
Tableau
SQL
Machine learning
Experience

  1. Interbank - Portafolio Monitoring Intern

    Jul 2021 - present
    • Monitoring the product portofolio using risk index
    • Manipulate data to generate insights by Dashboards
    • Build a Credit Scoring model to know the profile of the defaults customers

  2. Sedipro-PUCP - Member PMO

    Mar 2020 - Dec 2020
    • Planning and execution of projects within the Sedipro PUCP portfolio, such as consultancies, training and process management.

  3. Rinstel - Assistant

    Jan 2020 - March 2020
    • Support in the installation and configuration of presentation rooms and projectors
Interbank - Portafolio Monitoring Intern
Jul 2021 - present
  • Monitoring the product portofolio using risk index
  • Manipulate data to generate insights by Dashboards
  • Build a Credit Scoring model to know the profile of the defaults customers
Sedipro-PUCP - Member PMO
Mar 2020 - Dec 2020
  • Planning and execution of projects within the Sedipro PUCP portfolio, such as consultancies, training and process management.
Rinstel - Assistant
Jan 2020 - March 2020
  • Support in the installation and configuration of presentation rooms and projectors
Education
  • B. Economics - Social Sciences
    Pontifical Catholic University of Peru
    2017 - 2022
Projects
Credit Card churn predition

Credit Card churn predition

In order to retain customers, we seek to predict whether customers will leave the service. For this purpose we will use classification algorithms such as Logistic Regression and Random forest. In the first part we did a quick introduction to the variables, data preprocessing, then a Exploratory data analysis and finally the results of the model performance. This is a co working project with my friend Franco Cáceres

Vaccination Dashboard Peru 2021

Vaccination Dashboard Peru 2021

To understand the vaccination situation in Peru, I made a dashboard for the first 30 days to track the performance of the campaign made by the State

Applied Statistics

Applied Statistics

Here you can find a series of Jupyter Notebooks, my colleages (Stefi Riega and Franco Caceres) and I worked on for our class of Applied Statistics.

Achievements

Big Data Certified Associate (BDCA)

International Capatitation in the Bid Data Framework

Machine Learning Explainibility Course

Techniques to extract the following insights from sophisticated machine learning models

Innovation Challenge Participation

We are developed a product which can help to activate the tourism after the Pandemic

Scrum Workshop

Training in agile methodologies
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My inbox is always open. Whether you have a question or just want to say hi, I'll try my best to get back to you!
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