MY

ACHIEVEMENTS

Types of projects

Here is a list summarising the different types of projects carried out.

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Open data

The aim was to make dashboards and find insights using the Open Food Facts database.

Data analyse

The problem was to carry out a market study of the water sector for a banking institution using databases (NAF codes, billing data, DIANE database, etc.)

Data segmentation

Build an RFM (Recency, Frequency, Monetary) segmentation for the company Esprit Equitation using the customer database extracted from the CRM.

Automation week

For the company Swile, we devised a new acquisition system.

The system integrates an automated e-mail process via HubSpot as well as various marketing actions.

Digital transformation

For the company Lothaire, we proposed a new management of digital tools with a view to satisfying the customer online and in shop with the implementation of a new CRM and a new data flow architecture.

Data consulting

For the company Agon, we designed an automated dashboard on Google Data Studio fed by external data (API) and data from our database modeling on SQL.

CERTIFICATIONS & TOOLS

Technical User Certification

Protection of personal Data Certification

Practice of the tool and validation of the endpoints of the certification.

Overall mastery of the tool and certain connectors: SQL, Sheet, AT Internet.

OPEN DATA

The goal of this project was to use an open data base : OpenFoodFacts (a famous data base given nutritional informations like calories, nutri-score,  grams of sugar, etc. about many products).

My groupe and I, have decided to use this data base within a mobile app. This application allow you to plan your different meals during the week. The different products consumed during the meal will be indicated and a global summary per product and per meal consumed will be given.

You will therefore have personalised dashboards according to your dietary needs and your schedule.

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DATA VISUALISATION

You will find here an example of a dashboard entirely coded in Python that I made using Streamlit.

It represents, in a fictitious way, a dashboard on the consumption trends of fruits in French households within the framework of a marketing campaign launch.

This project allowed me to do data analysis with Pandas and to visualise this data with Plotly.

You can find the link to the Streamlit on my GitHub as well as the code, and a PowerPoint explaining the project briefly.

MY GIT HUB

OTHER PROJECTS

Swile

Automation Week – Project

This week of automation week allowed us to discover automation tools such as HubSpot or Zappier. I was able to configure a zap allowing me to tweet and mention each new person who follows me on Twitter by saying welcome. During this week, I was also able to configure automatic emails triggered on conditions and finally, integrate Google Tag Manager on a site on Breezy via Google Tag Manager.

In parallel to this, we worked for the company Swile with the following problematic:

How to acquire market share from companies that do not have the time to implement a meal voucher solution?  Therefore, our solution consisted in creating a virtual assistant that becomes a « support » for companies in subscribing to SWILE.

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Maison Lothaire

This project consisted of enabling Maison Lothaire to offer an online customer experience similar to that of the physical shop. It was therefore important to take into account the values of the brand, the prestige and the image conveyed.

The « Data » part I was in charge of concerns the construction of a new data flow architecture following the implementation of a new CRM but also, the management of the Web Analytics part to analyse the behaviour of visitors on the online shop.

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Machine Learning & AI

Seminar 

During the week of introduction to Machine Learning, I had the opportunity to test my first prediction models, to discover Scikit-learn, to do my first competition on Kaggle: The Titanic and to have tested other competitions. 

Ensuite, j’ai eu l’opportunité de choisir un thème à présenter à ma classe et j’ai choisi sans hésiter le Reinforcement Learning.

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THEY TRUSTED ME…