A passionate quantitative analyst and developer, blending statistical programming and functional programming techniques to drive data-driven innovation in finance. “Beyond Raw Data” explores the dynamic world of technology, data analysis, and software development, sharing insights, projects, and innovations that highlight data-driven problem-solving and emerging tools across industries.
This research examines the impact of ESG factors on FDI inflows in East African developing markets, using panel data analysis. Two regression models (pooled and fixed-effects) are used to assess the correlation between sustainability factors and FDI, helping host countries identify key ESG drivers of FDI growth.
An Open Source Machine Learning Framework for Everyone.
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The best way to write secure and reliable applications. Write nothing; deploy nowhere.
A Hugo theme for personal portfolio.
WorldQuant University’s accredited Master of Science in Financial Engineering degree integrates mathematical, statistical, computer science, data science, and machine learning skills. Using market-driven practitioner examples, students focus on real-world financial challenges such as securities pricing, algorithmic trading, optimizing portfolios, and hedging risks, implementing and calibrating models in Python, and using their critical thinking skills to interpret and apply them.
