My name is Mabel Villalba Jiménez. I’m a Data Engineer, with experience as Python Developer, Data Scientist and Data Analyst.

I currently work as a Data Engineer at SEAT:CODE in projects related to Predictive Maintenance of welding spots using Machine Learning for the SEAT Factory in Martorell.

I have experience in building and maintaining software in Python, building CI/CD pipelines, implementing unit testing and code quality checks. I also have experience with the AWS stack: Kinesis Data Streams, Lambda, s3, Glue, SageMaker, Athena, QuickSight, CloudFormation, CodeBuild, CodePipeline.

I have worked in areas related with Data Extraction, Processing and Retrieving, Data Analysis and Machine Learning (i.e. Quantitative Trading, Time Series, Model Optimization, Web Scraping, Statistical Analysis…)

In addition, I also worked as a Project Reviewer and Classroom Mentor for Udacity, reviewing projects from several nanodegrees in areas like Data Analysis and Visualization, Deep Learning, Statistical Analysis and general Machine Learning.

• Classroom Mentor: guiding students from the Machine Learning Engineer Nanodegree and the Data Analyst Nanodegree.
• Project Reviewer: helping students from the Deep Learning Nanodegree Foundation and the Artificial Intelligence Nanodegree as in projects related to Deep Learning, Reinforcement Learning, Statistical Analysis and general Machine Learning.

I love contributing to Open Source projects like the Python libraries Scikit-Learn, for Machine Learning and Pandas, for data structure and data analysis. See the list of contributions in the Open Source Contributions section.

Also, I really enjoy trying to answer questions on Stackoverflow (Stackoverflow profile).

Check out the links at the header to know more!