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Solo analyst — EDA, regression modelling · 2026
Screen Time Impact on Adolescent Wellbeing
Quantifying how screen time actually relates to adolescent mental health, past the headlines.
PythonPandasSeabornMatplotlibLinear Regression
The problem
Screen time and adolescent wellbeing is a topic full of strong opinions and thin evidence — the question was whether a real relationship shows up once the data is actually modelled, not just eyeballed.
The approach
- Cleaned and pre-processed a dataset of 98,000+ adolescent records
- Ran exploratory data analysis and visualisation in Seaborn and Matplotlib to surface patterns before modelling
- Fit a linear regression model relating screen time to mental-health indicators, evaluated with R² and MSE
- Translated the statistical output into plain-language findings a non-technical reader could act on
The impact
98,000+Adolescent records cleaned and analysed
R² / MSERegression model evaluated on both fit and error
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