About me

I have a dual background in Data Analytics and Finance. After working as a Corporate Credit Analyst for a French Investment Bank in Chicago for 2 years, I attended an intensive Data Bootcamp in Paris to venture into the Data World.

Soon after, I joined Ankorstore as a Business Data Analyst. Ankorstore is a rapidly growing European B2B marketplace that achieved unicorn status in just two years. The company’s mission is to connect brands with the best independent retailers in Europe. In my role, I was responsible for:

• Conducting data analysis to support business decision-making on CX and Logistic topics
• Developing and implementing data visualization tools to monitor the performance of the Fulfillment Center and improve Sales processes
• Creating and monitoring new metrics to better understand brands behaviors on the platform

Believing in continuous improvement, I also completed the Google Data Analytics Professional Certificate while working. Currently, I am pursuing the Advanced Certificate.

Now, I am seeking the next stage of my career, aiming to join a fast-growing company in the UK for a hands-on role as a Senior Data Analyst.

My resume available here

My portfolio

Sign Language Detection Project 🖖

Deep Learning

Github project link

Tools used: Python (Numpy, Panda, OpenCV, Mediapipe, TensorFlow), Google Drive, Streamlit

With 3 of my teammates from Le Wagon Bootcamp we built in 2 weeks a sign language module which recognizes through a webcam and display on the screen the different letters of the alphabet:

• Based on the American Sign Language.
• The Sign Language Translator uses computer vision and image segmentation.
• Our dataset includes more than 8000 pictures of hand signs both homemade and from online datasets.
• We used the Resnet50 V2 Convolutional Neural Network in order to classify the different letters.
• The cropped image of the hand from the webcam is the input we give to our model and the classified letter the ouput.

Here is the link to our online app

And if you want to see our live presentation (Demo starts at 55m11s - FRENCH)

Cyclicist Project 🚲

Data Analytics

Github project link

Tools used: R (Tidyverse, Geosphere), Tableau

Context

A data analysis Case Study for the Google Data Analytics Professional Certification. The objective was to prepare a data analysis for a fictional bike-share company located in Chicago, Cyclicist, in order to help them attract more riders.

Project Overview

As a data analyst working in the marketing analyst team, my goal was to understand how casual riders and annual members use Cyclistic bikes differently. From these insights, my team had to design a new marketing strategy to convert casual riders into annual members.

Cyclicist is a bike-share company that features more than 5,800 bicycles and 600 docking stations in Chicago area.

We try to evaluate how do annual members and casual riders use Cyclistic bikes differently:

• Customers who purchase single-ride or full-day passes are considered casual riders.
• Customers who purchase annual memberships are Cyclistic members.