Position: Data scientist / data analyst
Category: Data Science
English level: upper
Years of experience: 2


I have about two years of experience in data analytics and data science in the travel industry and Nestle. As data analyst I work with Python, SQL, Power BI, Excel. 

Also have experience with both supervised and unsupervised learning. I have solved many regression and classification problemsby using such ML methods as linear and logistic regression, decision trees, random forest, SVM, KNN, Bayes classifier, and ensemble methods. I also have real world experience in unsupervised learning. I have worked with clustering methods such as KMeans, DBScan, Mean Shift, and others.