
Statistics graduate with practical experience in data analysis using Excel and R. Currently serving as Account Data Analyst Trainee, employing data-driven techniques to enhance pricing strategies and operational efficiency. Aiming for a Data Analyst position to drive evidence-based decision-making and further develop technical skills.
Applied multinomial logistic regression to analyse clinical risk factors achieving model accuracy of 64.55%, Interpreted results to support data-driven health insights
Conducted regression analysis using R and identified key variables influencing student outcomes.
Organised a Power BI training for over 60+ students on data analysis and visualisation
Mentored undergraduate students in the Department of Statistics, providing guidance on course selection, research opportunities, and career paths