Analytics, personalisation & recommendation and experimentation - Design & implementation of end-to-end experimentation engine and automation solution. - Online product experimentation. Shaping products and digital product offerings through iterative experimentation. - Winner: Maersk Global Hackathon 2022. Designed and developed a prototype of a new integrated container logistics order management system - Speaker @ Vue.js World conference 2023 in Amsterdam. How Vue drives global trade. Telling the story of maersk.com’s Front-End ecosystem to 1000+ developers.

Experimentation Enablement - Developing end-to-end automation framework for experimentation, as a result from Bachelor thesis POC. (Created while an intern)Product testing, digitisation & automation.

Engineering intern as a part of the Adoption/Growth Hacking team, work has included: - Created a tool to automate implementation and analytics of marketing experiments for the Maersk.com platform that could specify personalised customer groups and do multivariate user testing. Tool could implement different web elements. - Created a Visual Studio Code Extension for Maersk Developers with 70+ installs - Analytics and data - Front-end development and design of marketing experiments - Natural Language Processing with ML models including sentiment analysis model for social media and LDA topic model for Glassdoor reviews. Technologies worked with:Javascript | Python | Google Analytics/Google Tag Manager | Google Data Studio | SQL | Azure | Html/CSS | Wordpress & Sitecore |

Recruitment and training of new employees.