I am a detail-oriented Actuarial Science graduate with strong quantitative and analytical capabilities. I have hands-on experience in statistical data analysis, financial modelling, and data entry, and I am comfortable working with Excel, R, SPSS, Python, and remote collaboration tools.
I have built practical experience through roles in data entry, field enumeration, and economic planning support, where I handled data collection, validation, cleaning, reporting, and analytical modeling. I am confident working with large datasets and maintaining high standards of accuracy and consistency.
I also work as an IT teacher, where I plan and deliver structured lessons on computer fundamentals, Microsoft Office, internet safety, and introductory programming. I enjoy creating differentiated learning materials and supporting students through both in-person and digital learning environments.
My background includes supporting government planning activities through statistical analysis, KPI development, forecasting, and report preparation. I am comfortable translating data into clear insights and presentations for decision-makers.
I am especially interested in entry-level actuarial, data analysis, and remote IT or education opportunities in insurance, pensions, financial services, or EdTech. I value structured work, attention to detail, and continuous learning.
I am open to full-time remote, part-time remote, or hybrid work, and I bring strong digital literacy, cross-cultural communication, and independent work skills. I am ready to contribute in roles that require analytical thinking, teaching support, and reliable remote collaboration.