Full Stack Data Science Team | Experts in Data Analytics and AI Solutions

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.

Our team stands for the values of democracy, tolerance and diversity. We welcome and value different perspectives and backgrounds as we believe that diversity strengthens and enriches our community and makes decisions better.

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

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

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.

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.

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

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.

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

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.

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

Managing Director
Data Scientist

Mira loves bringing the right people, ideas and tasks together - as a team leader or as a consultant in contact with customers. She also specialises in software development and predictive analytics in R and Python. Mira holds master's degrees in psychology and statistics.

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

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

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

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

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.

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

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.

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.

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.