Data Science and Machine Learning Specialist in Credit RiskAs a data enthusiast, I'm deeply convinced that AI is the new electricity, and I'm dedicated to applying it across various industries to solve complex business problems.In my current role as a Data Scientist in the credit risk modeling department, I focus on building and optimizing credit scoring and default probability models. I use a wide range of machine learning tools, such as scikit-learn, LightGBM, CatBoost, LAMA, PyTorch, to deliver precise risk predictions and support better decision-making in risk management.Previously, I gained valuable experience in the oil and gas industry, specializing in statistical analysis and geospatial data visualization. Driven by my passion for computer vision, I undertook a pet project to develop a custom system for detecting oil wells in satellite images.Constantly improving my skills in machine learning and deep learning, I'm excited to explore new opportunities where I can apply my analytical skills and innovative thinking to drive transformative change.Stack:* Python (pandas, numpy, matplotlib, seaborn)* Scikit-learn, LightGBM, CatBoost* PyTorch* SQL* Git