Hanna Jubin

I am a motivated and detail-oriented MSc Statistics graduate with a strong foundation in data analysis, statistical modeling, and business intelligence. I have hands-on experience with tools such as Python, R, SQL, Power BI, and Excel, enabling me to extract meaningful insights from complex datasets.

My academic and project experience includes time series forecasting, regression analysis, hypothesis testing, and visualization, which I’ve used to support data-driven decision-making. I enjoy solving real-world problems through analytics and am committed to continuous learning and impactful contributions.

I am actively seeking opportunities where I can apply my skills to support organizational growth, innovation, and data-centric strategies.

As a recent MSc Statistics graduate, I have gained practical experience through academic projects, research work, and hands-on training in data analysis and statistical modeling. I’ve worked on real-world datasets involving tasks like data cleaning, visualization, predictive modeling, and hypothesis testing using tools such as Python, SQL, Power BI, and Excel. My experience includes developing classification models, conducting survival analysis, and building dashboards to derive insights. I am eager to apply these skills in a professional setting and contribute to data-driven decision-making.

Master of Science (MSc) in Statistics
Completed advanced coursework in statistical modeling, time series analysis, regression, hypothesis testing, and multivariate analysis. Gained hands-on experience in R and Excel for data analysis, with applications in real-world research and business scenarios.