Email: mabelvj@gmail.com
LinkedIn: mabelvj
Website: mabelvj.github.io
GitHub: mabelvj
StackOverflow: mabel-villalba

Skills

  • Programming: Python, R, Bash scripting, Docker, Docker Compose, SQL, MongoDB, HTML, CSS, XPath, Regular Expressions, Matlab
  • Python Frameworks: Scrapy, Scikit-learn, Pandas, Numpy, Statsmodels, Prophet, Matplotlib, Seaborn, PySpark, Jupyter Notebook, Quantopian, Backtrader, TensorFlow
  • Data Science: Statistical analysis, Time Series, Deep Learning
  • Data Engineering: AWS Lambda, S3, Kinesis, Athena, Glue, Quicksight
  • Other: Agile, Scrum, AWS, Microsoft Azure, Linux, CI/CD, GitHub, GitLab, Bitbucket, LATEX, Markdown

Languages

  • Spanish: Native
  • English: Full proficiency (Cambridge CAE, C1, 2012)
  • French: Intermediate

Experience

Team Lead - Data Engineer - SEAT CODE

May 2023 – Present | Barcelona, Hybrid, Full-time

  • Led a multidisciplinary team of data scientists, engineers, product owners, and designers in the development of an internal SEAT product.
  • Collaborated with the Product Owner to set priorities, optimize resources, and create business cases.
  • Designed and implemented ETL pipelines using AWS (Lambda, Kinesis, Glue) and managed cloud infrastructure provisioning with CloudFormation.
  • Conducted 1:1 mentoring sessions, career development plans, and guided personalized team growth through Profile Ladders.
  • Managed performance reviews and salary evaluations, aligning individual growth with team objectives.
  • Championed Agile methodologies to improve team productivity and streamlabout.mdine workflows.

Data Engineer - SEAT CODE

April 2021 – May 2023 (2 years, 1 month) | Barcelona, Hybrid, Full-time

  • Developed predictive maintenance models for the SEAT Factory in Martorell using Machine Learning.
  • Built and maintained an ETL pipeline on AWS using Lambda, Kinesis Firehose, and Glue.
  • Data visualization using Quicksight
  • Implemented CI/CD using GitHub Actions.
  • Managed infrastructure provisioning with CloudFormation.

Data Science Engineer - Mática Partners

December 2020 – April 2021 (5 months) | Barcelona, Hybrid, Full-time

  • Built ETL systems using Docker and AWS S3 for business information extraction.
  • Deployed and managed data processing pipelines using PySpark, Azure, and Jenkins.

Python Developer & Backend Developer - Scrapinghub

April 2019 – December 2020 (1 year, 9 months) | Remote, Full-time

  • Developed scrapers and ETL processes using Scrapy, Pandas, and Numpy.
  • Built unit testing frameworks with Pytest and integrated CI/CD pipelines.
  • Managed data storage using MongoDB, MySQL, and deployed in cloud environments.

Data Science Contractor

June 2017 – April 2019 (1 year, 11 months) | Remote

  • LISTedTECH: Built a tool for university data extraction; performed data cleaning and regular expressions.
  • Windsor AI: Generated TV attribution and ROI reports using R and PostgreSQL.
  • Arbuckle Capital: Developed an algorithmic trading system (Quantopian, Backtrader) using GARCH models for volatility prediction.
  • SerpicoDEV: Built a commodity price prediction system using Python.

Mentor & Reviewer - Udacity

April 2017 – April 2019 (2 years) | Remote, Part-time

  • Mentored 120+ students in the Data Analyst and Machine Learning Nanodegrees with an average rating of 4.7.
  • Reviewed over 750 projects in Deep Learning, AI, and Statistical Analysis with an average rating of 4.93.

Predoctoral Researcher

October 2015 – October 2016 (1 year) | Optical Communications Group (UPC)

  • Developed simulation scripts for optical devices using Python and Matlab.
  • Simulated wavelength shifters for optical networks with 54dB sideband rejection.

Education

Courses

Contributions

Personal Projects