Open to junior roles in data maintenance and digitalisation · Landshut/Munich area or remote

Oleksandr Shevchenko

Data maintenance · Digitalisation · Automation

Data quality · Web content · Playwright · Python

For about three years I have worked daily with data that is messy, constantly changing and still has to be processed reliably. That turned into a working method: keep records clean and current, find inconsistencies before anyone notices them, and replace the same manual steps with verifiable automation — measure before claiming anything, and rebuild when the measurement comes back bad. Data maintenance is an ongoing task full of repetition; I do it carefully and at the same time see what can be automated.

Portrait of Oleksandr Shevchenko

Selected projects

Practical projects. Clear focus.

The flagship: a public Playwright test suite that checks this very website in CI — 56 checks across desktop and mobile. Alongside it, four product demos from more than 20 personal projects; every demo can be tried directly in the browser.

View the test suite on GitHub

Practice & growth

From manual work to verifiable workflows.

Three years of daily practice with data and automation — more than 20 projects, over 100 scripts and, since 2026, a public e2e suite in CI. With an honest view of strengths and knowledge boundaries.

  1. 2018 — 2022

    BSc Economic Cybernetics (distance learning, Kyiv)

    A combination of business and IT subjects. Assessed by the German ZAB as equivalent to German bachelor level (03/2025).

    Focus: Economics · Computer science · Statistics
  2. 2022

    JS/FE Pre-School — RS School / EPAM

    Intensive course on JavaScript and frontend fundamentals with weekly assignments and peer review.

    Result: 1st place among ~6,000 participants
  3. 2023 — today

    Daily practice in web and data automation

    More than 20 own projects and over 100 scripts and workflows: recurring data maintenance, research and content transfer automated instead of manual — running reliably for months. Plus a public Playwright E2E suite with GitHub Actions CI against this website.

    Focus: Data maintenance · Automation · Verification

About me

I orchestrate AI. I take responsibility for the result.

My path began with a clear signal: after my degree in Economic Cybernetics (bachelor level recognised by the German ZAB), I took 1st place among around 6,000 participants in the RS School / EPAM JS/FE Pre-School course in 2022.

Since then I have spent about three years working daily on web and data automation — AI-assisted: I define the workflows, implement them, verify the results and systematically look for root causes when something is off.

Today I focus that experience on data maintenance and digitalisation: keeping records clean and current, finding inconsistencies before anyone notices them, and replacing the same manual steps with verifiable automation.

Data & maintenance

Data maintenance & quality · Data cleaning · CSV / JSON / spreadsheets · Reconciliation & consistency checks · MS Office

Automation

Python (scripting) · Playwright · Browser workflows · REST APIs · Scheduled jobs

Web & content

HTML & CSS · JavaScript / TypeScript · Next.js · Editorial workflows · Accessibility (basics)

Tools

Git & GitHub · GitHub Actions (CI) · VS Code · AI tools (Claude, ChatGPT) · Lighthouse

Way of working

Care with routine · Systematic debugging · Documentation · Fast onboarding · Open communication

Contact

Let’s get to know each other.

I am open to roles in data maintenance, digitalisation and automation — full-time or part-time.

oleksandr.o.shevchenko@gmail.com