Recommended expert

Jeanne (Paulie) Yap

Process Engineering Intern

Jeanne Yap
Cologne, Germany

Experience

Apr 2025 - Nov 2025
8 months
Euskirchen, 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
Jan 2024 - Dec 2025
2 years
Bonn, Germany

Master Thesis - Fruits 3D Reconstruction and Color Prediction

University of Bonn

  • Developed Conditional Denoising Diffusion Probabilistic Models in Python and C++ for structure and color prediction from partial data, using phenotyping datasets and addressing occlusions and incomplete plant scans
  • Automated pipelines, containerized workflows (Docker), and managed code/versioning (Git)
  • Achieved benchmark-level results and demonstrated strong reproducibility across experiments
Jan 2024 - Dec 2024
1 year
Mannheim, Germany

Hackathon Participant

HerHackathon

  • Built an AI-driven image comparison tool using Selenium and APIs; designed dashboards in Power BI and Figma prototypes
  • Delivered a demo solution to ALDI Süd stakeholders, showcasing actionable insights and technical feasibility
Jan 2024 - Dec 2024
1 year

Geoinformation System Developer – Geoinformation Management in Interdisciplinary Research

University Project

  • Created a geoinformation system integrating diverse datasets using Java, PostgreSQL, SQL, XML/GML, WFS, and ontology-based knowledge graphs
Jan 2023 - Dec 2024
2 years
Bonn, Germany

Master’s Project – Open World Panoptic Segmentation of Traffic Participants

University of Bonn

  • Adapted 2D algorithms to 3D LiDAR point clouds, achieving 2nd place in a public benchmark
  • Developed an end-to-end automated training pipeline in Python and regularly presented results to professors and PhD researchers
Mar 2022 - Mar 2025
3 years 1 month
Bonn, 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
Jan 2022 - Dec 2022
1 year

BoVW Project – Image Similarity via Classical Machine Learning

University Project

  • Developed a classical ML pipeline for image similarity and automated builds with Makefiles and GitHub Actions, ensuring reproducibility
Nov 2020 - Jan 2021
3 months
Cebu City, 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
Cebu City, 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
Cebu City, 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.

Skills

  • Expert / Strong Proficiency (Daily Use, Advanced Problem-solving): Python, Sql, R, Pandas, Numpy, Matplotlib, Seaborn, Scikit-learn, Pytorch, Tensorflow, Opencv, Open3d, Slam, Photogrammetry, 3d Lidar Processing, Linux, Bash, Git

  • Intermediate / Applied Experience (Projects, Internships, Coursework): C++, Matlab, C, Java, Javascript, Postgresql, Mysql, Spark, Pyspark, Knime, Docker, Ci/cd, Etl/elt, Rest Apis, Gans, Vaes, Diffusion Models, Ros

  • Familiar / Exposure (Academic Or Exploratory Use): Azure, Gcp, Kubernetes, Llms (Bert, Gpt), Hugging Face Transformers

  • Soft Skills: Analytical Thinking, Data Storytelling, Problem-solving, Project Management, Adaptability

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 · Geodetic Engineering · Bonn, Germany

University of San Carlos

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

Certifications & licenses

Google Cloud: Cloud Fundamentals

Microsoft Azure: Fundamentals

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