Senior Data Scientist | Machine Learning Engineer | GenAI Engineer | Python Developer | Team-Lead

1/2021 – 8/2021

Generation of data-insights from a website to track customer-usage and improve customer-experience on the website and report insights

C#, Google Cloud, Python

6/2020 – 12/2020

Risk-Management: For an optimal planning of future purchasing and sales, a Prediction of Risk based on previous kpis, interest-rates simulations and the market situation was implemented.

Finanzanalyse, Statistik (allg.), Python, Simulation Geschäftsprozesse

1/2020 – 6/2020

Prediction of Airpolution
To improve usability and performance of an old programm, a renewal and improvement of the prediction-service for predicting the airpolution was implemented.

Data Science, R (Programmiersprache)

8/2019 – 12/2019

Prediction of payments
In order to improve planing of expenses, a prediction service was set up to predict the payments to the customers musicians.

Data Science, Python, Statistik (allg.)

6/2019 – 10/2019

Measurement of discount-campaigns
To get more insights on marketing-campaigns and improve their impact, a new statistical measurement for campaign performance was built in order to predict and improve campaigns.

Data Science, Python

11/2018 – 5/2019

Document Recognition
Implementation of a fully automated, deep-learning document recognition with Python and Tensorflow system for insurance applications to check whether all validity-measures, like identity-cards, are fulfilled.

Apache Hadoop, Apache Spark, Keras, Python, TensorFlow

8/2018 – 12/2018

Best next offer for credit offers
The credit-institute needed a system where customers would get the best credit for their needs based on their information and history.

Finanzanalyse, R (Programmiersprache)

3/2018 – 10/2018

Prediction of Prices
In order to provide a self-regulation app to the customers, a service for predicting Prices of insured loss was implemented.

Apache Hadoop, Apache Spark, Microsoft Azure, Python

1/2018 – 3/2018

I developed a training where the participants and I go over the statistical basics (day 1), data-science vs data-mining (day 2) and data-science deep-dive (day 3).
It was initially thought for the Internal Knowledge sharing but was then also provided to customers outside the company.

R (Programmiersprache), LaTex, Python