Battery Life & Network Quality Analysis with Ookla Data

Mobile battery behavior can be influenced by both device/application activity and radio-network conditions, making it a useful cross-domain analytics problem.

Analyzed signal quality and background application activity against battery-consumption patterns using crowdsourced Ookla and related analytical data.

Used Python data-processing and machine-learning tooling including Pandas, Dask, Scikit-learn, Dash, Plotly, and Matplotlib for analysis and interactive visualization.

The work explored how network and device-side behavioral factors could be converted into actionable performance insights.