Prediction of Mental Illness Severity Based on Age of First Substance Use

Link: GitHub
Duration: Jan 2025 – Present
Tools Used: R, Predictive Modeling, Data Preprocessing

In this ongoing project, I am analyzing the relationship between the age of first substance use and the presence or severity of mental illness. Using predictive modeling techniques in R, I am developing a robust analysis pipeline that automates data processing and model evaluation. The project emphasizes reproducibility, incorporating version control through GitHub and a containerized computational environment via Docker.

Prediction of Student Performance in Mathematics

Link: GitHub
Duration: Sept 2023 – Dec 2023
Tools Used: R, Lasso Regularization, Predictive Modeling

In this project, I used Lasso regularization to predict student performance in mathematics. By applying predictive modeling techniques in R, I was able to improve the model’s accuracy by 7%. The project involved extensive data preprocessing, feature selection, and model evaluation.

Wellbeing During COVID-19 in the UK

Link: GitHub
Duration: Sept 2023 – Dec 2023
Tools Used: Python, Data Visualization, Pandas, Matplotlib

This project involved analyzing mental health trends during the COVID-19 pandemic in the UK. I created interactive visualizations to showcase the impact of the pandemic on wellbeing, using Pandas for data manipulation and Matplotlib for plotting. The goal was to identify patterns in the data and provide actionable insights.