I have been using data to solve problems all of my productive life. In my previous career of professional translator and interpreter, I specialized in complex technical fields from geology to civil engineering, which required a lot of learning, research and data analysis to enable reliable communication between technical experts.More recently, I became interested in natural language processing, machine learning and data science in general.I have been freelancing for many years, working with diverse clients from individuals to large industrial holdings, each time getting the job done without external supervision. I am also happy to work in teams on common tasks.For more details, please visit https://denis-kazakov.com/ds_en.htmlLatest CV is available at https://denis-kazakov.com/CV_Denis_Kazakov_EN2.pdfMy page at GitHub: https://github.com/Denis-KazakovMy page at Kaggle: https://www.kaggle.com/denisnikonoff• Python: Pandas, NumPy, sklearn, PyTorch, Optuna, xgboost, Matplotlib, SciPy, StatsModels, Jupyter Notebooks, Jupyter Lab etc.• Machine learning:o Deep learning (RNN, transformers)o Large language models: Prompt engineering Fine-tuningo Regression: linear, nonlinear, regularization (lasso, ridge)o Classification: logistic regression, KNN, SVMo Tree-based methods: random forest, boostingo Cross-validation, bootstrapo Clusteringo Feature transformation (PCA, SVD)o Ensembles, pipelines• Natural language processing (NLTK, SpaCy):o Machine translationo Machine translation quality assessmento Tokenizationo Named entity recognition (NER)o Morphology• Statistics:o Hypothesis testingo ANOVAo Multiple testing• SQLPet projects:- Machine translation with transformers.- Set phrase extraction from a corpus of texts.