G*****k

I bring a strong combination of statistical rigor, machine learning expertise, and applied industry experience. My skill set includes advanced statistical modeling, time series analysis, and network data analysis, along with hands-on experience in machine learning methods for regression, classification, clustering, and forecasting. I am proficient in Python, R, and SQL, with experience using libraries such as pandas, scikit-learn, NumPy, and the Tidyverse to build reproducible, data-driven solutions. I have a solid foundation in optimization, experimental design, and model evaluation, complemented by experience working with large datasets and high-performance computing environments. In addition, I excel at data visualization and communication, translating complex analytical results into clear insights for both technical and non-technical stakeholders, and collaborating effectively across interdisciplinary teams.