Data Analyst – Student
Russia
- Basic Python (including loops, visualization, pandas, numpy libraries)- Statistical analysis (descriptive statistics, probability theory, hypothesis testing)- Methods of data preprocessing (omissions, duplicates, categorization, changing data types)- SQL (data slices, data grouping and sorting, joining tables, aggregation functions, subqueries and temporary tables)- Analysis of business indicators (metrics, cohort analysis, unit economics)- Hypothesis testing, A/B testing- Visualization and presentations (seaborn, matplotlib, plotly libraries, dashboards in tableau)- ScriptsSuccessfully completed 14 projects, including 2 SQL projects:- "Analysis of business indicators of a mobile application" (A/A and A/B testing, Matplotlib, Pandas, Plotly, Python, NumPy, SciPy, Seaborn, statistical hypothesis testing, product metrics, event analytics, conversion, funnel)- "Prioritization and testing of hypotheses to increase the revenue of an online store" (Matplotlib, Pandas, Python, NumPy, SciPy, product metrics, statistical hypothesis testing, ICE and RICE ranking of hypotheses, analysis of cumulative data, A/B testing)- "The study of patterns success of computer games" (Matplotlib, NumPy, Pandas, Seaborn, exploratory data analysis, descriptive statistics, data preprocessing, hypothesis testing)- "Identifying the causes of mobile app losses" (Matplotlib, Pandas, Seaborn, NumPy, customer base cohort analysis, product metrics, unit economics, conversion and retention, LTV, САС, ROI)- "Analysis of the Moscow catering market" (Pandas, Plotly, Matplotlib, Python, Seaborn, Folium, categorization, geoclusters, choroplet, creating presentations)