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TripleTen Practise — Data Science Portfolio Projects

Repository: tripleten_practise
Author: Pablo Iglesias Aguirre
LinkedIn: https://linkedin.com/in/pablo‑iglesias‑aguirre‑8347a726


🚀 Project Overview

This repository collects and documents the portfolio projects developed during the TripleTen (formerly Practicum) Data Scientist Sprints. Each project demonstrates key stages of the data‑science lifecycle.


📂 Repository Structure

(Adjust this structure depending on your actual repo.)

tripleten_practise/
├── project_01_customer_churn/
├── project_02_vehicle_sales/
├── project_03_taxi_time_series/
└── …

🛠 Key Technical Skills

  • Python (NumPy, pandas, scikit‑learn, LightGBM)
  • Jupyter Notebooks
  • Cross‑validation and hyperparameter tuning
  • Data cleaning, EDA and modelling
  • Git & GitHub version control
  • Reproducible workflows

📫 Contact

Pablo Iglesias Aguirre
LinkedIn: https://linkedin.com/in/pablo‑iglesias‑aguirre‑8347a726

About

Practice projects and notebooks from the TripleTen Data Science bootcamp: EDA, machine learning, time series, and more.

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