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weslylaboy/README.md

Hi, I'm Wesly Laboy

I'm a Computer Engineer who enjoys building things to solve every kind of problems.

Most of my work sits somewhere between software development, analysis, and machine learning.

Right now I'm spending most of my time on machine learning, and practical AI projects.

Featured work

A machine learning project focused on a real education problem: identifying students at risk of dropping out and understanding why they are struggling.

I built a classification model to flag higher education students at risk of dropout and a regression model to estimate GPA for that group and highlight the factors most related to low performance. The project uses data from 4,424 students and includes the full process from cleaning and EDA to model comparison and interpretation.

An exploratory data analysis project looking at what drives coupon acceptance. The goal was to move past charts and find patterns that could actually help explain customer behavior.

What I like working on

  • Machine learning projects with a clear real-world use
  • Feature engineering, and model evaluation
  • Spring-based development
  • Mobile application using native language or React-Native
  • Projects where the technical work has to make sense to non-technical people too

Tools I use

Area Tools
Languages Python, JavaScript, SQL, Java
Data work pandas, NumPy, scikit-learn
Visualization Matplotlib, Seaborn, Plotly
Development React, React Native, Spring Boot, Node.js
Workflow Jupyter, Git, Conda

Pinned Loading

  1. will-a-customer-accepts-the-coupon will-a-customer-accepts-the-coupon Public

    This project is to apply visualizations and probability distributions to distinguish between customers who accepted a driving coupon versus those who did not.

    Jupyter Notebook

  2. arma-model-forecast arma-model-forecast Public

    Building and Evaluating ARMA Models

    Jupyter Notebook

  3. what-drives-the-price-of-a-car what-drives-the-price-of-a-car Public

    An end-to-end machine learning project analyzing 426K car listings to help dealerships optimize inventory. This project implements preprocessing (Log-scaling, Frequency Encoding) and compares Multi…

    Jupyter Notebook

  4. student-outcome-predictor student-outcome-predictor Public

    Machine learning models that identifies higher education students at risk of dropping out and explains what is causing their low performance. Built to help academic advisors intervene early.

    Jupyter Notebook