Jeanne (Paulie) Y.

Process Engineering Intern

Cologne, Germany

Experience

Apr 2025 - Nov 2025
8 months
Germany

Process Engineering Intern

Procter & Gamble

  • Independently initiated and deployed automated validation workflows using Python, cutting manual processing by 58% and improving efficiency.
  • Developed a machine learning model for synthetic defect generation, reducing downtime and production costs; deployed locally and via Databricks and Azure AI Factory.
  • Utilized a small dataset of image data from the production lines and extended this dataset with training on models like cycleGAN and pix2pix.
  • Built and optimized the Linux-based development environment for training 3D models; maintained reproducibility via GitHub.
  • Presented technical insights to cross-functional teams (engineers, QA, project managers), ensuring alignment of ML solutions with operational needs.
Mar 2022 - Mar 2025
3 years 1 month
Germany

Working Student (Marketing and Comms)

DHL Consulting

  • Built a data-driven analytics framework, boosting LinkedIn KPIs by 116% and engagement by 300% through multi-channel tracking (Hotjar, Google Tag Manager).
  • Increased post frequency by 50% via strategic, data-informed content planning.
  • Produced dashboards and actionable insights from marketing data to optimize campaign performance across teams.
Nov 2020 - Jan 2021
3 months
Philippines

SW/Cloud App Tech Support

Accenture

  • Ensured operational continuity of cloud-based applications through troubleshooting and real-time issue resolution.
Jun 2019 - Dec 2019
7 months
Philippines

Innovation Intern

Lear Corporation

  • Designed an innovative autonomous vehicle car seat, collaborating with cross-functional teams to prototype and validate novel designs.
Jan 2018 - Dec 2018
1 year
Philippines

Electronics Committee Head

University of San Carlos

  • Led electronics for Team Lahutay at the Shell Eco Marathon, managing wiring, control systems and sensors to ensure successful competition entry and demonstrate technical and leadership skills.

Summary

Data Engineer with a strong background in machine learning, data pipelines, cloud deployment, and analytics. Experienced in Python, SQL, C++, Databricks and ETL/ELT workflows, with hands-on exposure to CI/CD, Docker, and version-controlled pipelines. Adept at optimizing processes, automating workflows, and delivering actionable insights for cross-functional teams. Proven ability to translate complex data into business impact.

Languages

Tagalog
Native
English
Advanced
German
Intermediate

Education

Rheinische Friedrich-Wilhelms-Universität Bonn

Master of Science in Geodetic Engineering, Major in Mobile Sensing and Robotics · Bonn, Germany

University of San Carlos

Bachelor of Science in Electronics and Communications Engineering, Major in Microelectronics and Information Systems · Cebu City, Philippines

Certifications & licenses

Coursera: Deep Learning

Data & ML Fundamentals Project Sparta (DOST, Philippines): Data Science

Google Cloud: Cloud Fundamentals

Microsoft Azure: Fundamentals

Scientist Associate Convolutional Neural Networks (CNNs)

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