I am a dedicated statistics student with a genuine passion for uncovering the stories hidden within data and using them to drive smarter, evidence-based decisions.
Throughout my academic journey, I have built a strong foundation in statistical modelling and data analysis, but what excites me most is the chance to apply these methods to real-world challenges where data can make a tangible impact.

I am a collaborative and curious individual, who values clear communication and enjoys tackling complex problems as part of a team.
My attention to detail, paired with a creative and analytical mindset, enables me to approach each project with both precision and innovation.

My main research interests include:

• Machine Learning
• Deep Learning
• Clustering
• Functional Data Analysis
• Bayesian Statistics
• Biostatistics