About

Short Version

 I am business oriented team lead engineer passionate about data driven products.

 I follow and advocate for transparent, light-weight agile team work, lean development and DevOps practices, and I stand for my team and for upscaling its members skills.

 Throughout my career, I have effectively built and scaled cross-functional teams, bootstrapped and delivered to production several data platforms and analytics services managing expectations of stakeholders across multiple departments.

 My favorite question is "why?", a part of my strength is the willingness and ability to question status quo for appropriate decisions assessment to assure timely delivery of efficient tech and strategic solutions for product improvement.

Long Version

 I combine years of extensive hands-on engineering experience with the experience of bootstrapping, leading and scaling data science/engineering projects and teams.

 My natural curiosity, love to tech, physics and math/stats background, programming skills, attention to details, consultancy and management experience put me at unique spot in between top level business decision-makers, BI and engineering teams to bridge them and to facilitate monetisation of the business data by implementing analytical solutions.

 Until COVID19 pandemic, I was assuming the role of engineering manager and building a top class cross-functional team of data engineers, data scientists, backend and frontend engineers to build scalable data analytics platform to boost the one of its kind financial platform provided by CrossLend, the first FinTech which dared to disrupt classical investment-lending stream for the sake of financial industry future.

 Recently, I was looking after the cross-functional team of data scientists, machine learning engineers and pricing managers at the Hamburg first unicorn, AboutYou. Our objective was to build and deliver a machine learning pricing engine to maximize the company profit by optimizing products assortment discount. The team successfully delivered MVP of the product within 3 months from scratch.

 Previously, I was looking after the cross-functional data platform team of fulltimers and freelancers at one of the leading global IT companies, Spark Networks. My team successfully delivered robust and scalable data platform suitable for real-time analytics required to hit business objectives targeting KPI-driven products improvement. The whole delivery cycle (PoC -> MVP -> rollout) took only around 6 months.

 Prior to that, I was part of the strategic project department and DWH/BI teams at a leading F2P online gaming company Goodgame Studios. As a data scientist and DWH manager, I was providing in-house consultancy and building (MVP of) end-to-end data science solutions, and managing data warehouse to make sure that no solutions with no sufficient analytical picture on relevant KPI being made.

 Before that, I had a blast working at a cool Hamburg based IT incubator Maritime Data Systems which brings AI solutions for the maritime world. I was building analytics back-end and developing ML algorithms for trusteddocks.com, the web-app helping ship-managers to find a suitable company for their vessels maintenance/building/recycling without intermediate agents.

 Right after the Uni, I was a part of very excited research projects including ISOLTRAP and CMS at world leading laboratories, CERN and DESY.

 At spare time, if not enjoying the time with my family, I

    work on aboutmyrent and on another startup in stealth mode as of now
    master infrastructure and ML skills
    work on private projects which you can find on the projects page
    try myself in blogging: read my thoughts on my blog page, medium, or DataScience+
    consult my friends for building analytics layout for their fintech startup, Ownly

If you would like to work with me, or have questions/comments, please contact me on email, or via linkedin. My CV can be downloaded here.