Hi! I'm Affectus, a data scientist from Chile. This is a curated selection of my personal and freelance projects, translated into English for international reviewers and hiring teams.
This repository contains adapted English versions of my original data science projects (in Python, Flask, etc.).
🎧 Playlist Generator – Spotify-Based Song Recommender
A Flask web application that connects to the Spotify API and generates personalized playlists based on user-selected filters such as energy, mood, and danceability. It includes over 8,800 songs and applies clustering and similarity models for music discovery.
Tech stack: Python, Flask, Spotipy, Pandas, Streamlit
📈 Financial Forecast – Predicting Business Scenarios
A predictive modeling project focused on forecasting financial performance for small and medium businesses. It includes time series analysis, risk identification, and visual storytelling to support strategic decisions.
Tech stack: Python, scikit-learn, Matplotlib, Seaborn, Excel
💿 Vinyl Sales Dashboard – Vinyl Store
An interactive sales analysis dashboard created for a Vinyl Store. It visualizes monthly revenue, top-selling products, and sales trends, helping decision-makers identify growth opportunities.
Tech stack: Python, Pandas, Matplotlib, Google Sheets
I’m currently working on several new data science projects that will be uploaded shortly, including:
🎮 Video Game Sales Analysis
🎬 Netflix Movies and TV Shows Dataset Exploration
🤖 Machine Learning projects applied to fictional business scenarios
To access the English version of a specific project or notebook, feel free to:
- 📧 Contact me via email: affectus.contact@gmail.com
- 💼 Or connect with me on LinkedIn
I’d be happy to share the code, insights and even talk about possible collaborations or job opportunities 😊
Would you like to see more projects or explore the original Spanish versions?
Visit my full GitHub profile: github.com/affec-ds
Thanks for visiting!
Affectus Jaureguizar