Daniel Andrés Páez Rojas

Daniel Andrés Páez Rojas

About Me


Data Scientist/ML Engineer with knowledge in Full-Stack development (React, Django) to build and deploy Machine Learning models and real-world applications.

Projects


BeatFinder

Project developed with 2 colleagues (BeatFinder) for the automatic classification of musical genres using a Deep Neural Network (DNN). I conducted an EDA, extracted and analyzed over 500 acoustic features (Librosa) and optimized the model.

Jupyter Jupyter
Python Python
Scikitlearn Scikitlearn
Pandas Pandas
Seaborn Seaborn
Matplotlib Matplotlib

FullStack Note App

Developed a full-stack application with React using atomic design and Django that allows authenticated users to manage their notes (CRUD) through a RESTful API, Auth0 and SQLite.

Django Django
React React
SQL SQL
Bootstrap Bootstrap
SCSS SCSS

Experience


Telpark

2025 - 2025

Parking Agent

  • Customer service offering support for facility use, mobile company app, and resolution of product and incident queries, maintenance and cleaning tasks, and cash management and billing.

CHARDA 79 EVENTOS S.L

2025 - 2025

Parking Agent

  • Independent terrace management for more than 30 tables, including communication with the bar and kitchen, providing prompt and friendly customer service, including taking orders and serving food and drinks, while maintaining a standard of cleanliness and order.

Education


4GeeksAcademy Approved

  • Intensive 16-week training course in Data Science & AI, covering the entire project lifecycle: from extraction and EDA to the development and deployment of Machine Learning models (Linear Regression, Random Forest, KNN, K-Means, recommendation systems, NLP, among others), culminating in a final project involving an audio-based music genre classifier.

Certificates


Meta Front-End Developer (Mark: 9.68/10)

30/12/2024
  • Completed an intensive frontend specialisation (Meta), mastering React, JavaScript, HTML, CSS, Git/GitHub and UI/UX design (Figma). Includes full web project development (Little Lemon) and preparation for technical interviews (algorithms, data structures).
  • Completed an introduction of databases for backend development with MySQL. The course includes normalization, common comands and queries.

Skills


Hard Skills

  • Numpy Numpy
  • Pandas Pandas
  • Seaborn Seaborn
  • Matplotlib Matplotlib
  • Scikit-Learn Scikit-Learn
  • MySQL MySQL
  • Astro Astro
  • React React
  • TypeScript TypeScript
  • JavaScript JavaScript
  • Tailwind Tailwind
  • Bootstrap Bootstrap
  • SCSS SCSS
  • Django Django
  • Git Git
  • Jest Jest

Languages

  • Spanish Spanish (native)
  • English English (advanced)
  • French French (basic)
  • German German (basic)