I’m Sayianka, an aspiring machine learning research scientist with a strong background in statistical methods, quantitative finance, and epidemiological modeling. I’m passionate about exploring how learning algorithms work—how they learn, adapt, and evolve to tackle real-world challenges. As a data scientist, I combine rigorous analysis with practical problem-solving to uncover valuable insights and build impactful solutions.
My interests: Machine Learning probabilistic reasoning information theory Quant Finance Epidemiology.
Blog: https://stanleyrazor.github.io/portfolio
Tools:
