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

Machine Learning Engineer

Walmart

• Worked as the lead ML Engineer in the team in charge of building and productionizing almost all ML models for Walmart Chile.
• Worked supporting the Data Monetization Team by scaling and operationalizing a customer loyalty to product clustering model (composed of 1000+ models) 
• Worked on designing a RAG-based LLM system for analyzing and extracting insights from customer complaints.

Senior Machine Learning Engineer

• Worked in the team in charge of building and productionizing almost all ML models for Walmart Chile.
• Built and deployed to production a ranking model for finding top ranked substitutes for each product.
• Operationalized the main hierarchical sales forecasting model for our branch of the company.
• Built and deployed to production a call-center capacity forecasting model.
• Built the batch inference logic and pipeline for a classification model for out-of-stock prevention.
• Worked operationalizing a collaborative filtering model (recommender) for audience generation.
• Developed the CI/CD/CT process used for multi-container ML systems.
• Developed project management utilities such as resource cleanup and deployment scripts.
• Taught multiple training sessions (to 60+ data related roles) on MLOps, programming best practices, among others.
• Main point of contact with cloud providers and international data teams.

RedSalud CCHC

• Business & Strategy Team
• Created multiple data pipelines using Python, BigQuery and SAS. Built dashboards to display the data.
• Automated the retrieval and analysis of public procurements by building a web scraper and extracting relevant data.
• Automatic detection and correction of approx. USD 140,000 in erroneous monthly payments for medical services.
• Performed Cash Flow analyses for expansion projects.

Data Analyst

• Operations Team
• Worked on measuring and enhancing patient referrals from medical consultations to surgical procedures across multiple healthcare facilities by building data pipelines (ETL), creating, and analyzing conversion metrics.

Watt's S.A.

Engineering Dept. Intern

Facultad de Ingeniería y Ciencias de la Universidad Adolfo Ibáñez

Teaching assistant

Operations Dept. Intern

ML Engineer. Currently working @ Meta.

Throughout my career I've worked solving problems using a variety of ML models ranging from classification, regression, forecasting, ranking, recommendation and computer vision, among others.

taplio

The Battle

Banias Baabe

Renzo Tassara Miller

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