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’m a Data & AI Engineer Consultant with over five years of experience helping businesses turn data into measurable impact. I specialize in designing and deploying machine learning systems that connect technical excellence with strategic outcomes — making organizations smarter, faster, and more efficient.

I’ve led AI initiatives across telecom and energy sectors, delivering predictive maintenance models, computer vision solutions, and scalable MLOps platforms. I enjoy building systems that move beyond experimentation — pipelines that automate data ingestion, training, deployment, and ensuring they run seamlessly in production. My approach combines technical precision with strong collaboration, working closely with engineers, analysts, and business leaders to deliver insights that drive decisions.

Recently, I’ve been expanding my focus into Generative AI and Large Language Models, exploring how conversational intelligence and document-aware systems can transform enterprise processes. Projects like building LLM-powered assistants and RAG pipelines with LangChain reflect my curiosity for pushing AI beyond prediction into understanding and reasoning.

Core strengths include data strategy, MLOps, predictive analytics, and model interpretability. I’m comfortable moving between hands-on development and strategic discussions — aligning AI initiatives with business goals.

Tech stack: Python, TensorFlow, PyTorch, SQL, Kafka, Flink, Kubeflow, KServe, MLflow, Azure, Databricks.

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Banias Baabe

Srikanth Tadepalli

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