Blessing Funmbi Sasanya

I am proficient in data analysis using R and Python programming, with a deep understanding of analytical methods including time-series analysis, multivariate regression, classification, clustering, ensemble modeling, and deep learning (ANNs, LSTM). I regularly use libraries such as caret, forecast, keras, tidymodels, and scikit-learn to develop, validate, and deploy predictive models. I have a strong grasp of statistical performance metrics such as RMSE, NSE, R², PBIAS, and KGE, which I use to assess and optimize model performance. I am also experienced in scientific communication, having authored peer-reviewed publications, presented at international conferences, and supervised student projects. I bring a combination of analytical rigors, programming expertise, and domain knowledge to solve real-world problems. Whether working independently or collaborating across disciplines, I thrive in dynamic research environments and am committed to leveraging data analytics to drive impactful and sustainable solutions.