Data Scientist using Python for machine learning (supervised and unsupervised), AI and predictive analysis.
Languages & Frameworks:
– Python (e.g. Pandas, NumPy, SciPy, Matplotlib, Seaborn, Scikit-learn, CatBoost, XGBoost, Keras/TensorFlow, Alibi, Optuna)
– SQL (PostgreSQL, MySQL)
– Amazon Web Services AWS (Lambdas, Step Functions, S3, QuickSight etc.)
– Statistical modeling (e.g. Neural networks, Boosting, Random forest, SVM, Stacked Generalization, GLM)
– GitHub
– Microsoft Office