Data Analytics

I am a data professional with experience building end-to-end data projects for small businesses.

I am skilled in building ETL/ELT pipelines (Keboola, Airflow), defining the logical data model and designing dashboards in various tools (preferably Looker or Tableau, but can handle PowerBI and GoodData as well). I am confident in SQL as well as Python for getting data from API or websites (scraping). For example, I wrote extractors for SoundCloud, Google Reviews, Keboola API, or Copper CRM.

I also worked with big data using PySpark, and was a Looker ambassador, responsible for dashboard quality prepared by our team. I guided junior colleagues with Git and coding reviews, and took part in Czechitas Digital Academy as a mentor.

In general, I can provide consultations on data-related topics, incl. data quality, architecture and infrastructure. I have actively sought out opportunities to expand my knowledge and expertise, which has allowed me to adapt quickly to new challenges. For example, I participated on developing full-stack data applications, to either generate automatic documentation for data projects, or to validate client’s data and integrate them into his internal system. I am always eager to take on new responsibilities and embrace fresh perspectives, as they allow me to broaden my horizons and enhance my contributions. My goal is to bring a versatile skill set to any role or project I undertake.

Currently, I am a part of a team of data detectives in BizzTreat (2021 - today). Previous years, I worked for Kiwi.com (2019 - 2021), and Seznam (2021). I also volunteered for Faunalytics as a Data Science / Statistician volunteer (2020-2021).

At the moment, I focus on expanding my skills in data engineering and programming.

 

You can check examples of my work on GitHub or Kaggle: