Jeanne (Paulie) Yap-Process Engineering Intern
Check rate
Experience
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
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
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
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
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
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
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
SW/Cloud App Tech Support
Accenture
- Ensured operational continuity of cloud-based applications through troubleshooting and real-time issue resolution
Innovation Intern
Lear Corporation
- Designed an innovative autonomous vehicle car seat, collaborating with cross-functional teams to prototype and validate novel designs
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
Industry experience
See where this freelancer has spent most of their professional time.
Experienced in Education, Transportation, Agriculture, Automotive, Retail, and Manufacturing.
Business area experience
See which departments and functions this freelancer has contributed to most.
Experienced in Research and Development, Information Technology, Business Intelligence, Marketing, Product Development, and Production.
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
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
Statistics
Experience
Global experience
Expertise
Qualifications
Profile
Frequently asked questions
Have questions? Find more information here.
Jeanne is based in Cologne, Germany.
Jeanne speaks the following languages: Tagalog (Native), English (Advanced), German (Intermediate).
Jeanne has at least 6 years of experience. During this time, Jeanne has worked in at least 10 different roles and for 8 different companies. The average length of individual experience is 1 year and 7 months. Note that Jeanne may not have shared all experience and actually has more experience.
Based on recent experience, Jeanne would be well-suited for roles such as: Process Engineering Intern, Master Thesis - Fruits 3D Reconstruction and Color Prediction, Hackathon Participant.
Jeanne's most recent position is Process Engineering Intern at Procter & Gamble.
In recent years, Jeanne has worked for Procter & Gamble, University of Bonn, HerHackathon, University Project, and DHL Consulting.
Jeanne is most experienced in industries like Education, Transportation, and Agriculture. Jeanne also has some experience in Automotive, Retail, and Manufacturing.
Jeanne is most experienced in business areas like Research and Development, Information Technology, and Business Intelligence. Jeanne also has some experience in Marketing, Product Development, and Production.
Jeanne has recently worked in industries like Education, Transportation, and Agriculture.
Jeanne has recently worked in business areas like Research and Development, Business Intelligence, and Marketing.
Jeanne holds a Master in Geodetic Engineering from Rheinische Friedrich-Wilhelms-Universität Bonn and a Bachelor in Electronics and Communications Engineering from University of San Carlos.
Jeanne has 2 certificates. These include: Google Cloud: Cloud Fundamentals and Microsoft Azure: Fundamentals.
The availability of Jeanne needs to be confirmed.
Daily rate distribution
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Average rates for similar positions
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The average daily rate is the mean of all daily rates from recent contracts of comparable freelancers on our platform.
The median daily rate is the middle value of all daily rates — half of comparable freelancers charge less, half charge more. Unlike the average, it is barely affected by outliers.
Calculated based on our freelancers’ daily rates as of 6 Sep 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
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