Welcome to my profile!

3 min readOct 9, 2022

If you’re looking for insights into Data Analytics for Supply Chain Sustainability or Personal Productivity, you've found the right profile!

A four-part visual showcasing: (1) Automated video editing with Python for generating short explainer videos using text-to-speech; (2) Automated supply chain control tower with Python, optimizing freight and warehouse management through data processing; (3) Life cycle assessment in fashion retail to evaluate environmental impacts over the product lifecycle; (4) Data analytics for supply chain sustainability focusing on CO2 emissions and air freight analysis. — (Image by Author)

👋 Hi There!

A few words about me,

1. 📅 Born in Paris

2. 👨‍🎓 Studied Mechanical and Automotive Engineering in Lille and Beijing.

3. ‍💼 2016: started as a Supply Chain Solution Designer (3PL) in Shanghai

4. 📦2016–2020: designed logistics solutions for customers in Retail, Cosmetics, E-Commerce and Luxury Operations in the Asia Pacific

5. 🖊️2020: I moved to the customer side in the continuous improvement team of the global logistics department of an FMCG group.

In this blog, I am sharing part of this knowledge and experience with real-world operational examples and the source code of my solutions.

📰 Supply Chain Blog

In the blog section, you can access 70+ articles with

A statement of the problem to solve based on an actual project
Introduction of the mathematical concept used to solve the problem
Implementation using a programming language like Python, VBA or javascript

A three-panel infographic. The first panel shows CO2 emissions analytics for supply chain sustainability, evaluating emissions and identifying the increase due to air freight. The second panel depicts a supply planning problem where the goal is to determine the cheapest route from two production plants to four stores. The third panel uses graph theory to optimize transportation networks, representing stores and routes as nodes and edges. — Examples — (Image by Author)

➔ You can find them in my reading lists

⏳ Productivity

Use programming to automate manual tasks, learn languages or make crucial decisions.

An infographic with two sections. The left section is a budget planning problem showing project costs and returns over three years, with benefits like reduced CO2 emissions and productivity improvements. The right section shows a Python-based automated video editing process, converting raw video into shorts, with text-to-speech for generating comments across different video segments. — Example — (Image by Author)

➔ You can find them in my reading lists

🤖 Automation (RPA)
⌛ Productivity

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