Position: Data Scientist, Data Analyst
Category: Data Analyst
English level: basic
Years of experience: 0

Reports creating on the bank's loan portfolio on a monthly and daily basis.
Tableau, Product analytics, AARRR framework, metrics hierarchy, metrics overlay on the product funnel, RFM analysis, Cohort analysis, A/B testing, metrics auditing and monitoring, systematic product experimentation process.
Python basics, basic concepts of mathematical analysis, work with different data sources (csv files, jsons, API’s, SQL databases), site parsing, Numpy arrays, Pandas DataFrames, visualization (matplotlib, Power BI), linear models (linear regression, logistic regression, SVM), decision trees, random forest, clustering (k-means, agglomerative clustering, DBSCAN), etc.
Looking for challenge project to realize my skills and experience.