Daniel Kirsch

I am excited about data products - from the ML through the data infrastructure up to the UX. I've worn many hats like data engineer, data scientist, data product manager, product analyst (even full-stack web developer). I have built and led teams building data products. I speak many programming languages - preferrably functional ones. Founder of a data for good non-profit. Creator of detexify. Math diploma from University of Münster.

Billie

Fintech B2B Payments

4/2018 - today

Director of Data Science

Billie is a breakthrough fintech startup that aims to create a new standard for business purchasing. I've started as a hands on data scientist at Billie working on the risk engines and later shifted focus to ml-based internal products. In the end the leads of the teams that were responsible for

• credit scoring models,
• fraud prevention systems,
• machine-learning based internal products used in company identification, payment systems
• products analytics

My department had 14 full time employees plus working students. I was a driving force behind the reshaping of analytical teams to accomodate shifting company requirements as Billie matured.

Idalab

Agency for Data Science

2/2016 - 2/2018

Data Scientist

Mathematical Modelling, Machine Learning, Artificial Intelligence, Optimization in a wide range of contexts like IoT, urban planning, finance, mobility, and many more using Python, Pandas, scikit-learn, keras, R and the tidyverse, caret, Shiny, Docker, Elasticsearch, Ansible, AWS (whatever is the right tool for the job).

I also

• mentored working students and younger colleagues
• have established reproducible research principles in our projects (codified in project templates)
• created an infrastructure for my colleagues to easily run analyses in pre-configured cloud environments
• created a Docker-based infrastructure to make our web based demonstrator apps available to our customers
• created scripts to ensure a consistent development setup across company laptops (which codified our best practices)

• Reduction of food waste through predictive modeling of time series fo a german vending machine business with scikit-learn
• Statistical consulting and predictive modeling for in financial services (dunning processes) with R
• Supported development of a machine learning API for a Berlin-based parking app startup

Energy Management GmbH

8/2014 - 3/2015

Data Analyst & Visualization Expert

• Translation of business requirements into suitable technical solutions
• Leading frontend development (Project Management, Node, D3, Angular) and building APIs and the data pipeline (Python, Pandas) for our smart meters and NILM results
• Drafting and implementing a DevOps process and best practices with Ansible

Incubator building companies and careers

6/2014 - 7/2014

Data Scientist

• Prototyped a Big Data architecture in a Telco context
• Supported a new FinTech venture by prototyping the backend architecture and implementing the MVP with Rails

Ruby on Rails Consultancy

8/2009 - 5/2014

Software Developer

I was involved in a variety of projects ranging from ecommerce sites and auction systems to business intelligence tools. I worked on the Rails backend as well as with frontend technologies such as Haml, SASS, client-side Javascript-frameworks and D3.js for data visualization. I helped establish TDD/BDD as a company best-practice, intoduced new technology such as Angular.js as a core Zweitag technology and supported and co-created the corporate mentorship program besides mentoring student workers and interns.

10/2003 - 11/2010University of MünsterDiploma in Mathematics / Computer Science ∅ 1.5

Thesis (1.3): »Detexify: Recognition of hand-drawn LaTeX symbols« implemented as a RESTful webservice written in Haskell and Ruby using machine learning techniques. Samples are stored in CouchDB.1993 - 2002Gymnasium Laurentianum WarendorfAbitur ∅ 2.0