Data Analyst Intern - ML modeling and analytical data preparation (AI training-related)
Developed machine learning models to predict student dropout and academic success to enable early intervention. Performed data preprocessing and feature engineering to improve predictive accuracy and evaluated model performance for reliability. Analyzed financial consumer complaint data to identify key drivers of dissatisfaction using data-driven methods. • Prepared datasets via preprocessing and feature engineering for ML modeling • Built and evaluated predictive models for student outcomes • Analyzed consumer complaint data to extract dissatisfaction drivers • Used Excel for data cleaning, analysis, and visualization to support decisions