Hi everyone,
My name is Anton Bizyaev and I've been passionate about doing data analysis since 2019. I have working experience at Russian Central Bank, top-1 university of Russia, and Russian Academy of Science. Experienced with Python, SQL and Excel. I am used to solving broadly defined problems in changing environments, which require teamwork and non-standard approaches to solve. I love it most when data facilitates better decision making and I'm always open for a creative collaboration.
My portfolio: link
Available for hire: False
Email: [email protected]
Stack:
- Python: pandas, numpy, matplotlib, seaborn, sklearn, scipy, statsmodels
- Statistics: A/B tests, z-score, t-test, confidence interval, p-value, bootstrap
- Machine learning: linear regression, logistic regression, decision tree classifier, random forest, gradient boosting
- Unsupervised learning: k-means clustering, principal component analysis
- Data visualization: scatterplot, histogram, line plot, box-and-whiskers, pie chart
- SQL: window functions, subqueries, join
- R: dplyr, ggplot2, psych
- Software: PowerBI, Tableau, Excel, IBM SPSS, PowerPoint
Some of my projects include:
| Description | Keywords | Link |
|---|---|---|
| 1. Finding factors that determine conversion from a trial online English class into a purchase (real world business problem) | conversion rate, A/B tests, product analysis, group comparison | online_ed_conversion |
| 2. Investigation of relationship between transport and economic growth (published in a scientific journal) | PCA, k-means, linear regression, international statistics | transport_vs_economy |
| 3. Analysis of futures (an odd job) | correlation analysis, data visualization, time series, financial market | index_lag_analysis |