About us

Since 2011, we have been supporting our customers with customised solutions to make profitable use of their valuable data. Behind inwt stands a broad-based, highly specialised and passionate team. Honesty, integrity and an orientation towards the highest standards characterise the way we work and our relationships with our customers.

Jan Abel

Jan Abel

  • Data Engineer
  • RMarkdown Fan
Jan is involved in data preparation and software development in R and Python. With a background in electrical engineering and computer science, he has a soft spot for Linux, DevOps and automation. Here he likes to use technologies like Jenkins, Docker and Kubernetes.
Till Bethge

Till Bethge

  • Data Scientist
  • Bayes Expert
Till's main focuses are statistical modeling and computationally efficient estimation methods. In his master's thesis, he extended a Bayesian method and applied it to gene expression data. In addition to his master's degree in statistics, Till also holds a degree in Philosophy & Economics and has project experience with social science data.
Jan Blechschmidt

Jan Blechschmidt

  • Data Scientist
  • Statistics Pro
The focus of Jan's work is on predictive analytics. He is also involved in the implementation of algorithms as microservices using Docker and Kubernetes.
Jonathan Bob

Dr. Jonathan Bob

  • Data Engineer
  • Database Expert
Jonathan's many years of experience in consulting and his expertise in databases and SQL are applied in his work at INWT. In addition, he implements software projects in R and deals with the automation of processes with Docker.
Milan Flach

Dr. Milan Flach

  • Data Scientist
  • Geoinformatician
Milan works in project management at INWT and also deals with the topics of Continuous Integration / Continuous Delivery with Kubernetes, Docker and AWS. Data analytics with R and Clickhouse play a central role in the daily work of the doctor of geoinformatics.
Lukas Fuchs

Lukas Fuchs

  • Data Scientist
  • Statistics Expert
Lukas' focus is modelling, for example in the areas of fraud detection, customer retention and customer segmentation. In addition, the statistician has extensive experience in front-end development with R-Shiny.
Amit Ghosh

Dr. Amit Ghosh

  • Managing Director
  • Consultant
Amit has many years of experience as a consultant with a focus on data & predictive analytics. Amit is Managing Director and co-founder of INWT. Previously, he was responsible for setting up and managing the Statistical Consulting Unit at the Freie Universität Berlin.
Michelle Golchert

Michelle Golchert

  • Data Engineer
  • DevOps Expert
Michelle specialises in DevOps and automation and works with Jenkins, Docker and Kubernetes, among others. In addition to her work as a project manager, she is involved in software development and data engineering in Python as well as processing real-time data with Kafka.
Marcus Groß

Dr. Marcus Groß

  • Data Scienist
  • Modeling Mentor
Marcus is an expert in statistical modelling and machine learning. He has a doctorate in statistics and specialises in Bayesian models. His work also focuses on natural language processing, fraud detection and time series analysis.
Mira Céline Klein

Mira Céline Klein

  • Data Scientist
  • Organizational Talent
Mira's passion lies in agile project management. In addition, she is involved in software development, predictive analytics, and automated reporting in R and Python. Mira holds master's degrees in psychology and statistics.
Rebekka Krause

Rebekka Krause

  • Team Assistance
  • Confidant for Data Protection
Rebekka makes sure that everyday office life runs smoothly. She studies work and organisational psychology and supports project management, e.g. by carrying out project retros. Her tasks also include bookkeeping, payroll accounting and organising team events.
Andreas Neudecker

Andreas Neudecker

  • Solution Architect
  • DevOps Mentor
Andreas is a solution architect at INWT specialising in automation and deployment with Docker, Jenkins and Kubernetes. He also has a soft spot for interactive visualisations with vue.js and D3.js. As a trainer, Andreas shares his knowledge of DevOps and R programming.
Felix Reimann

Felix Reimann

  • Data Scientist
Felix is mainly involved in reporting with R and Redash as well as modeling. In addition to his interest in machine learning methods, he brings experience in time series analysis due to his background in economics.
Antonia Runge

Antonia Runge

  • Frontend Developer
  • Clean-Code Enthusiast
Antonia oversees projects in the field of app development with Shiny. In addition to software development, she is primarily concerned with intuitive design and the visualisation of data. Another focus of her work is frontend development with vue.js.
Dr. Marina Runge

Dr. Marina Runge

  • Data Scientist
  • Statistics Expert
Marina has many years of experience in data science consulting. Her focus is on modelling and predictive analytics as well as software development with R and Python. In parallel to her work at INWT, Marina did her PhD in Small Area Estimation at the Freie Universität Berlin.
Guido Schulz

Guido Schulz

  • Data Scientist
  • Visualisation Nerd
Guido's passion is data visualisation and software development. He also has a soft spot for web development with Vue.js. Guido is primarily involved in data wrangling, reporting and spatial analysis with R and Python.
Henrik Tilkorn

Henrik Tilkorn

  • Data Scientist
  • Deep-Learning Enthusiast
Henrik develops and optimises machine learning models, from air pollution prediction to bot detection. Another focus of the computer scientist is computer vision.
Sarah Wagner

Sarah Wagner

  • Data Engineer
  • Database Pro
Sarah is an expert in databases and data wrangling in R and Python. Sarah's work also focuses on reporting, visualisation and front-end development with Vue.js.
Steffen Wagner

Prof. Dr. Steffen Wagner

  • Data Scientist
  • Statistics Professor
Steffen focuses on methodological issues in the areas of predictive analytics, online marketing and customer relationship management. In addition to his many years of experience in data science consulting, he has held a professorship for Applied Statistics at BHT Berlin since September 2021. Steffen is co-founder of INWT.
Sebastian Warnholz

Dr. Sebastian Warnholz

  • Data Engineer
  • Data-Service Evangelist
Sebastian is a software architect at INWT. He has a PhD in statistics and focuses on data warehouse solutions and process automation with Docker, Jenkins and AWS. With his specialisation in the DevOps area, he occupies the interface between software development and data science.