Data scientist and machine learning engineer with a software engineering background, studying for a bachelor's degree in computer science with a specialisation in artificial intelligence. Builds and evaluates machine learning solutions end to end, from data preprocessing and exploratory analysis to feature engineering, model training and performance evaluation. Works with Python (pandas, NumPy, scikit-learn, XGBoost) and TensorFlow on supervised and unsupervised tasks: regression and classification, decision trees and ensembles, clustering and anomaly detection, recommender systems and deep reinforcement learning. Also uses SQL, Java, Docker and Git. Values transparency in cross-functional teams, thinks in systems rather than single tasks, and adapts new tools quickly to real problems.
Machine learning and data science.
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