Data Scientist / Developer

Mazars

Wirtschaftsprüfung, Steuern und Recht

500-1000 Mitarbeiter

As a data scientist and software engineer in the Data & Analytics unit at Mazars, I drive innovation and foster a data-driven culture within the organisation. Operating as a startup within a larger enterprise, our team of engineers and data scientists collaborates to develop automation software and machine learning products on the Azure cloud. We focus on establishing a robust data ecosystem, promoting data governance, and advocating for a comprehensive data strategy.

Search engineering lead

trivago

As a leader of two sub-teams comprising eight Java engineers, I
was responsible for people management and technical decisions
around a GCP-based microservice system that executes search,
auction, and ranking models at trivago. Under my guidance, my
team has fostered a data-driven decision-making approach for
engineering processes. By questioning and redesigning past
architecture decisions, the engineering team was able to increase
trivago's top-line revenue by more than 2% without adversely
affecting user metrics.

Software Engineer and Data Scientist

Hotel Search; trivago

As an engineer, I made architectural decisions and developed
backend products in the time of a challenging business situation
caused by the emergence of the COVID-19 pandemic.
During my tenure as a Data Scientist, I conducted a deep dive into
trivago's backend logs, resulting in the discovery and elimination
of several bugs. This led to a 20% decrease in the load on trivago's
advertisers.

Software Engineer / Data Scientist, Search Technology

trivago

As a member of a five-engineer team, I was part of the effort to
rebuild trivago's hotel search from scratch. We developed a
GPU-based algorithm to scan the entire hotel inventory under
strong latency constraints, which reduced response times by 90%
compared to conventional databases. We deployed our software
on the Google cloud, where it processes hundreds of requests per
second and serves prices for over 1 million hotels from more than
250 booking sites worldwide.

Data Scientist

BoostingIO

In this role, I created reports, machine learning models, and APIs
for multiple customers, including one of the largest drugstore
chains in China. Our team built a personalised text
recommendation engine that served thousands of users daily.

Independent Contractor

Cadence Translate and Dah Makan

(remote/Beijing)
As an independent contractor, one of my contributions was a
demand forecasting algorithm that analysed historical food sales
data and current business metrics. This algorithm reduced food
waste by more than 20% and helped Dah Makan expand its food
startup into a multi-million dollar company.

Researcher

Heinrich-Heine-University

Dusseldorf
My research focused on the dynamics of particles with
non-reciprocal interactions. I developed high-performance
simulations with CUDA and C++ to demonstrate that such systems
can maintain a non-equilibrium state with extreme temperature
gradients on the particle scale. I improved simulation times by up
to a factor of 80 using GPUs. I created a planning framework and
conducted analyses with Python on computer clusters with more
than 300 cores.

Search engineering lead, Software Engineer and Data Scientist

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