Education
M. Sc. Accounting & Finance
University of Tuebingen
Oct 2016- Sep 2018
Final grade: 1.4
Majors: Mathematical Finance, Numerical
Methods, Stochastic Calculus
Thesis: ‘Valuation of Barrier Options using
Sequential Monte Carlo’ (Grade: 1.0)
Commitment: Co-Chairman of BFS Society e.V
Exchange Semester
Tongji University
mar 2018 - jul 2018
Majors: Statistics, Computer Science
B. Sc. International Economics
University of Tuebingen
Oct 2012 - Sep 2016
Final grade: 2.0
Majors: Statistics, Econometrics, Finance
Commitment: Founding Member of BFS Society e.V.
Work History
Senior Machine Learning Engineer
T-Systems
Apr 2022 - Now
- Development and implementation of an anomaly detection model for time series in python in order to identify outages
- Setup of a TIG-Stack (Telegraf, InfluxDB, Grafana) including Prometheus monitoring using docker compose to poll and transform highly frequent data
- Implementation of a REST-API (FastAPI) to query and display model results in management dashboards including encryption and authentication with JWT
- Setup of a CI/CD pipeline (Gitlab) in order to package, build and test the application
Senior Consultant
Deloitte
Jun 2020 - Mar 2022
- Design and implementation of a target architecture in AWS and Cloud Foundry for the development of a tool for automatic, asynchronous extraction of relevant information from PDF documents using Lambda, SNS, SQS, Textract and S3. Implementation of a REST interface using FastAPI for communication between user interface and backend server.
- Conception and implementation of a data analytics
and machine learning modeling web-application (Python, SQL, React, Bootstrap) co-leading a
team of 8 data scientists and engineers with the
objective to speed up standard data analysis and
model development - Setup of data preprocessing pipelines in SQL,
data analysis and model development using python for a large credit risk portfolio to quantify
and mitigate default risk
Consultant
Deloitte
Oct 2018 - May 2020
- Worked on a year-long project to create a FinTech
startup, designing and developing an automated
Machine Learning product for an early warning
system in Python. - Model estimation using different machine learning algorithms (XGBoost, RandomForest, Neural
Networks) and interpretation with the help of
white-boxing algorithms (Shapley, Lime). - Deployment into production as cloud solution by setting up a continuous integration
pipeline using Bitbucket Piplines and AWS (ECS, ECR, Fargate). - Setup of REST API Services for various ad-hoc calculation requests originating from the designed
front end. - Building and designing an entire data science architecture in varius environments making intensive use of infrastructure as code (Terraform).
- Incorporation and setup of testing framework
into CI/CD pipeline using pytest and Bitbucket
pipelines to perform automatic testing on developed code - Data Integration using PostgreSQL databases as
well as database management. - Presentation about machine learning
and cloud architecture at an international
Quant conference
Paul Trueman
Creative Director
Working with Artur has been a pleasure. Better yet - I alerted them of a minor issue before going to sleep. The issue was fixed the next morning. I couldn't ask for better support. Thank you Artur! This is easily a 5 star freelancer.
Working Student Bus. Dev.
INS Global Consulting
jan 2017 - may 2018
- Conduction of a market feasibility study for
German midsized companies - Assistence in go-to market strategy and front
end development for a new payroll management
software - Construction of market analyses, statistics and
competitive comparisons
Natalya Dorris
SEO
Working with Artur has been a pleasure. Better yet - I alerted them of a minor issue before going to sleep. The issue was fixed the next morning. I couldn't ask for better support. Thank you Artur! This is easily a 5 star freelancer.
Working Student Capital Markets
Landesbank Baden - Württemberg
May 2016 - Jul 2016
- Automation of derivative pricing pipelines by
means of VBA and SQL permutating through
various characteristics of financial products in order to identify profit opportunities
- Development of decision tree models using VBA and SQL to analyze and estimate certificate subscription volumes with the result of increased profits during subscription phase due to a more accurate volume prediction