Rossymary Sabnjoku

I am an MSc Data Analytics graduate with a strong interest in finance, business analytics, and data driven decision making within fast paced, global environments. My academic background has equipped me with solid analytical, statistical, and programming skills, alongside practical experience applying data science techniques to financial and economic datasets.

Through my studies, I have worked extensively with Python, SQL, Excel, and data visualization tools to analyse trends, model risk, and extract insights that support strategic decision making. My projects have included financial risk analysis, portfolio clustering, and economic performance evaluation across global markets.

I am particularly interested in opportunities within the UAE, where innovation, global finance, and data driven strategy intersect. I bring a strong work ethic, commercial awareness, and a continuous learning mindset, and I am eager to contribute to organisations seeking analytical thinkers who can translate data into real business value.

Financial Risk & Portfolio Analysis

Analysed historical market data to assess volatility, risk exposure, and performance metrics

Applied clustering and statistical techniques to group assets based on risk profiles

Delivered insights using clear visualisations and structured reporting

Business & Economic Data Analysis

Cleaned, analysed, and interpreted large datasets to identify trends and patterns

Supported strategic recommendations through data backed insights

MSc Data Analytics
Focused on data driven decision making, predictive analytics, machine learning, and financial risk analysis.