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

Currently, the segment I work in is Support, and my recent achievement is a successful usage of the TFIDF model to predict the request type of a ticket/request coming from email as a source (and containing no type identified, therefore). Based on the identified request type, the ticket gets directly assigned to the correct 2nd level agent, which helps us to reduce first-level support agents' overload. The implementation of my solution helped my team to achieve this goal.
Primarily, I analyze data with the R programming language. My current skill set includes data manipulation, data visualization, exploratory data analysis, reporting with R Markdown (interactive reports), building shiny dashboards of different levels of complexity. I have a strong knowledge of statistics. I also use SQL to query data from databases. In my current work, I combine all of the above to help my team make data-driven decisions.
I am on my way to becoming an exceptional data scientist, so do not expect from me a strong knowledge of machine learning. Right now, I am a true data analyst with a background in statistics. 

I prefer to work with the R programming language, exceptionally, so please do not captivate me with Python or Excel. I am also confident with working with BI tools and SQL, but it's important for me to use R studio in my work as well.