Data Analytics

Spotify Data Analytics Platform

This project transforms raw Spotify streaming logs into actionable insights. It allows users to visualize their listening journey, discover their 'true' favorite genres, and predict their future listening habits based on historical trends.

Project typeIndependent build

StatusCompleted project

FocusData Analytics

Technology

PythonPandasNumPyMatplotlibSeabornPower BI

System approach

Data Ingestion: Spotify API and user-exported JSON logs.
Analysis: Pandas and NumPy for statistical processing.
Visualization: Interactive Power BI dashboard and Matplotlib/Seaborn plots.

Challenges

Cleaning and normalizing inconsistent data from the Spotify API.
Efficiently processing large datasets of thousands of listening events.
Creating intuitive visualizations for complex temporal data.

Solutions

Built a robust data cleaning pipeline that handles missing values and merges multiple data sources.
Optimized memory usage by using vectorized operations in Pandas.
Developed a time-series heat map to visualize listening intensity throughout the day/week.

Key outcomes

Data-driven insights

Interactive visualizations

Pattern recognition