Position: Data Analyst
Category: Data Analyst
English level: fluent
Years of experience: 2


I have 2 years of experience, during which I have done all kinds of analytical tasks with help of Python, SQL and Excel, from just transforming datasets and gathering insights to constructing complex algorithms.

On my first job I was just completing technical tasks on processing and transforming data, mainly using Pandas and adding libraries as needed. For example, I have developed a script which takes geographical coordinates of any point on the US map and constructs a list of all postal zip codes around this point within specific distance, with data such as population, size and so on. Then I took these zipcodes and divided them into arbitrary number of clusters with similar size and population using ML libraries like scipy and TPOT. I have also completed tasks with calculating something in Pandas dataframes, pulling data from API and so on.

On my current job I've been processing and analyzing data on startup ecosystems. We construct rankings on startup ecosystems based on the proprietary algorithm with complex calculations and about 40 different parameters. Here I'm very involved with Python (Pandas, Numpy, requests, some data modelling), SQL and complex sheets in Excel and Google Sheets, constantly pulling data from the database and REST API.