About Me

I'm a PhD graduate with a distinctive interdisciplinary background, bringing together data science, remote sensing, and earth sciences. My passion lies in applied sciences, where I explore the convergence of these fields to solve pressing real-world challenges. Through advanced machine learning and deep learning techniques, I analyze complex datasets to uncover non-linear patterns, leading to improved models for prediction and forecasting. I’ve worked on a range of projects addressing environmental challenges, climate and hydrology, and energy sectors, including wind power. My focus is on developing solutions that provide valuable insights and practical tools for real-world applications. Whether it’s enhancing models for resource management or improving forecasting techniques, my goal is to make a meaningful impact through my work.