Position: Data Analyst
Category: Data Analyst
English level: upper
Years of experience: 0.5

I have significant achievements in studying applied statistical methods and have applied them to conduct my own A/B tests using Jupyter Notebook. I have used SQL for creating data cleaning projects, writing complex queries with using subquerrys and window functions, and calculating business metrics such as ROI, APRU, CTR, and CPM. I also have experience in building dashboards. Additionally, I have been writing Python command parser.

I have also obtained a certificate in data analytics from Google by completing a relevant course on Coursera
Hi! As a beginner Dana Analyst, I have created my own pet projects in the following areas:

AB testing projects, where I applied a wide range of statistical methods such as T-test, Z-test, U-test, sample size determination, bootstrap, confidence intervals, and more. I utilized popular libraries such as sckit-learn, stats, numpy, pandas, and matplotlib.

Testing the hypothesis of increasing Click Through Rate (CTR) based on a dataset from Kaggle.

Conducting data cleaning processes using T-SQL.

Additionally, I have experience in writing Python scripts for web scraping and developing a library for working with large numbers in Python without relying on built-in arbitrary precision arithmetic.

Have very strong math background.
I prefer working in a product company, as having a ready application or website always requires continuous analysis to improve its efficiency.