I am a driven and ambitious person, always wanting to learn new things. Recent interest include cloud services and how they can be used to handle large amounts of data and to build efficient databases. My biggest driving force is to constantly develop and learn new methods/best practices in both data analysis and software development. As a person I am independent, adaptable, collaborative and analytical with the ability to see complex patterns.My background in physics have taught me to quickly research new tools and methods to effectively solve new problems. Have several years experience of programming languages such as Python, C/C ++, Java, various machine learning methods and Python libraries such as scikit-learn and pytorch. ---Programming languages: Python, C / C ++, Java, R, Lisp, Bash, awk, sed.Software packages (Python): scikitlearn, pandas, pytorch, catboost, fastai, numpy, matplotlib.Prediction: Generalized linear models, xgboost, random forests, ARIMA / SARIMA for time series analysis, ordinary differential equation models, neural networks.Classification: catboost, k-nearest neighbors, support vector machines, generalized linear models, image analysis (CNNs), collaborative filtering.Cluster analysis: k-means, principal component analysis (PCA), hierarchical clustering.Other: Git, docker, object-oriented programming, teaching, project planning.