Position: Junior Data Scientist
Category: Data Science
English level: upper
Years of experience: 0

After completing some Data Science courses (all links are in my LinkedIn) i started making a project about an influence of Elon Musk's tweets on cryptocurrencies.
Completed a variety of courses for supervised and unsupervised learning which includes fundamentals like bias-variance trade-off, regularization, cross-validation, hyperparameters tuning, optimization techniques (like gradient descent, coordinate descent, stochastic gradient, expectation maximization) and popular ML algorithms.
Also for statistics, it includes understanding of concepts like hypothesis testing, p-hacking, sampling techniques, distributions, probability, central limit theorem, confidence intervals and introduction to bayesian approach.

I'd been studying applied mathematics in university for 3 years, which included probability theory, statistics, linear algebra, calculus, computational & optimization algorithms.

Some of the models and concepts i learned:
linear/polynomial/logistic regression, Lasso and Ridge regression, AdaBoost, Knn(Ann), K-means, DBSCAN, GMM, Latent Dirichlet Allocation, SGD and evaluation metrics like F1-score, Rog-auc, inertia, silhouette score, precision-recall, as well as euclidean distance and cosine similarity.