I am a data science and financial risk professional with a Master’s degree in Data Science and experience applying quantitative methods to real-world problems. I have a strong background in Python (NumPy, Pandas, scikit-learn), statistical modelling, and data analysis, with practical experience in working with large datasets and building predictive models.

Professionally, I have worked in investment and risk roles where I developed skills in data-driven decision making, financial modelling, and analytical reporting. I am particularly interested in projects involving data analysis, impact evaluation, and applying quantitative techniques to support evidence-based solutions.

I am motivated to contribute my technical skills to meaningful projects while continuing to build experience working on diverse, real-world datasets. I am reliable, detail-oriented, and comfortable working independently or as part of a team to deliver high-quality results.