About

I am Peter Eid, a Lebanese Data Scientist based in Paris, France. I studied engineering, computer science, and data science at Mines Saint-Etienne and the Lebanese University - Faculty of Engineering.

In my free time, I like exploring and creating generative art, especially when it’s driven by mathematical or scientific concepts.

Professional Experience

Nestle, ranked 96th on the Fortune 500 list in 2024, is a global leader in the food and beverage sector.

• Developed a machine learning model to segment customers and propose targeted marketing strategies
• Created interactive dashboards using Power BI to facilitate data-driven decision-making
• Automated data transformations using SQL scripts to enhance reporting speed and accuracy
• Optimized data pipelines in collaboration with data engineers to reduce processing times by 20%
  • Stack: Python (Pandas, Seaborn, Scikit), SQL, Databricks, Power BI (DAX)

Orano is a multinational company specializing in nuclear materials and fuel cycle services.

• Built a convolutional neural network for image segmentation of gravel used in nuclear fuel production
• Conducted data preprocessing and augmentation techniques to improve model robustness
• Evaluated model performance with metrics like IoU and F1-score, and optimized based on results
  • Stack: Python (Numpy, Matplotlib, OpenCV, Keras)

Securitas is the second largest provider of security services globally.

• Developed interactive Power BI dashboards to visualize KPIs for supply chain transportation
• Implemented data quality checks using VBA scripts to enhance data accuracy and reduce reporting errors
• Enhanced data literacy in the team by training colleagues on data analysis and visualization techniques
  • Stack: Power BI (DAX), VBA, Excel

Upscale Hub (formerly Codepickles) is a startup that provides tailored tech solutions to its clients.

• Researched and developed sentiment analysis machine learning models to interpret customer feedback
• Built RESTful APIs for model deployment, enabling seamless integration with existing applications
• Led the development of CI/CD pipelines to automate the deployment of Docker containers
  • Stack: Python (NLTK, Transformers, FastAPI), Docker, GitHub Actions

Education

• Major in Data Science
• Minor in Image Processing & Pattern Recognition

Skills

Programming and Tools

• Python (Pandas, Matplotlib, Seaborn, Plotly, Scikit-learn, Keras, PyTorch, OpenCV, Scikit-image, FastAPI)
• R
• SQL (favorite flavor: MySQL)
• C# (.NET)
• Power BI, Tableau
• Git
• Docker
• Linux, Bash

Data Science, Machine Learning and AI

• Regression Analysis
• Clustering Analysis
• Time Series Analysis
• Dimensionality Reduction
• Decision Trees
• Random Forests
• SVM
• Gradient Boosting
• Neural Networks
• Computer Vision and Image Processing

• …

Languages

• English
• French
• Lebanese (Arabic)
• Sarcasm (Often mistaken for a native speaker, but it’s actually my second language)