I am currently a data scientist for a global investment bank using financial data to predict default rates. I have a strong analytical, math-oriented research background in computational astrophysics. I am proficient in numerical simulations, CFD, time series analysis, statistics, machine learning, computer vision and deep learning. Tech stack: Python, numpy, statsmodels, scikit-learn, tensorflow, PyTorch, Git, Docker/Kubernetes, C++