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

Cummins Chile

IoT's Big data, ML models, deployment, business process automations. Detection of anomalies in the behavior of diesel engines; degradation estimation via oil samples; RUL; prognostic; Fault Code studies; among other aplications.

Applies statistics and Artificial Intelligence to Physical Assets maitenance problems through IoT and Big Data, and work on projects such as detecting anomalies, estimating asset degradation states, predicting remaining useful life,  automation of business processes, so and so forth. 

Hold a master degree in Artificial Intelligence and Deep Learning from Universidad de Alcalá of Spain, and completed several courses and certifications in Data Science, Machine Learning, Deep Learning, and Python, from reputable institutions such as Microsoft, deeplearning.ai, and Awakelab. Also have a strong background in Engineering, having attained the Civil Industrial Engineer title and a degree in Engineering Sciences from Universidad de Valparaíso.

Is a creative and proactive professional, alwas attentive to make improvements and adding value by 'connecting the dots' between the business model and technological tools and automation. I enjoy collaborating with multidisciplinary teams and stakeholders, and I am motivated by solving complex and challenging problems with data-driven solutions.

taplio

The Battle

Banias Baabe

Javier Espinoza Traslaviña

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