Building data-driven solutions to detect risk, optimize products, and drive business decisions.
Data-driven professional with 2 years of experience in financial operations, leveraging data science and machine learning to drive business insights and decision-making.
Previously worked in high-stakes financial environments, now applying data science to solve real-world business problems.
Worked as a Finance Analyst at State Street, analyzing large-scale financial data and ensuring accuracy in high-stakes operations.
Developed strong analytical thinking and a deep understanding of risk and data-driven decision-making.
To scale my impact, I transitioned to an MSc in Data Science in the UK.
Here, I built SQL queries and Python data pipelines to analyze user and financial data to generate insights that support business decisions.
Currently building industry-level data projects in SQL, Python, and analytics, focused on solving real business problems such as fraud detection and user behavior analysis.
Actively seeking data roles in London where I can apply data science to drive measurable business impact.
📍 Based in the UK | Open to London roles
"I am passionate about using data not just to analyze the past, but to influence better business decisions for the future."