MHP – A Porsche Company

- Developing multimodal Retrieval Augmented Generation applications on company data with Large Language Models
- Building an LLM-based Quality Evaluator and ML-based Duplicate Detection Method for Software Bug Tickets

Data Scientist

Bosch Power Tools

- Implementation and evaluation of probabilistic deep learning models for demand forecasting on AWS SageMaker

Master Student Data Science

- Development of a tool for automated data analysis and visualization in SAP Analytics Cloud
- Implementation of time series forecasting and outlier detection models

Working Student Data Science

Mercedes-Benz AG

- Speeding up the assembly process by using machine learning to predict throughput times and errors on Azure Databricks
- Automation of graph visualization for the optimization of assembly analysis

Fraunhofer IPA

- Implementation and evaluation of a generative deep learning model for image data augmentation for cutting edge patterns
- Implementation of scientific papers in Python

Bachelor Student Deep Learning

MAHLE

- Analysis of engine data and application of machine learning for prediction in piston temperature measurement

Intern Data Analysis & IT Project Management

I make learning Data Science effortless for you | Data Science @ Bosch

Hi 👋🏻
I'm Banias, Data Scientist at MHP.

Applying new technologies and methods in Data Science is my passion.

Through my experience and continual learning, I've gained valuable insights and tips that I love sharing with Data Scientists, Machine Learning Engineers and builders like you.

If you're looking for practical advice, helpful resources, and articles on the latest trends or best practices in the field, you're in the right place.

Let's connect and stay updated on the exciting world of Data Science together. Feel free to reach out, read my articles, and let's grow our knowledge and network. :)


Note: My views are my own and don‘t represent my employer.

Banias Baabe

I don't just follow the future—I build it.

With over a decade of experience at global tech leaders including Amazon, BP, and Doist, I blend technical expertise with real-world impact—building everything from AI-powered mental health platforms to enterprise-scale data systems. My background spans software architecture, full-stack development, and AI engineering, anchored by specialized knowledge in machine learning and information retrieval.

Currently leading AI innovation at Kondukto and developing breakthrough solutions at Harmonytics, I bridge the gap between advanced research and practical implementation. My PhD research on detecting suicidal ideation through text mining demonstrates my commitment to meaningful technology—whether creating empathetic AI systems that save lives or engineering workflows that save thousands of development hours.

I'm passionate about collaborations where technology creates genuine human value. If you're interested in transforming cutting-edge research into impactful products that solve meaningful problems, let's connect.

taplio

The Battle

Banias Baabe

Ahmet Aladağ

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