ETL pipeline for a Mobile app

The project was about creating a mobile app used to choose food products according to our personal criteria (allergies, vegetarian, price etc.) I created an ETL pipeline in order to load food products in the company's database Thus, I designed and automated an ETL pipeline.

ETL Pipeline - Amazon Sales

A retail e-commerce company wants to analyze its sales data to identify top-selling products, peak demand periods, and emerging trends. To achieve this, the project builds an ETL pipeline that extracts raw sales data from multiple sources, transforms it (cleaning, enrichment, aggregation), and loads

Optimizing sales of Moroccan-origin products on Etsy

The goal of this project was to identify trends and opportunities to optimize sales. We extracted data from Etsy on Moroccan-origin products to identify best-selling items and shops, and visualized the results, highlighting high-performing products and areas for improvement.

Exploratory analysis of transactions from an online supermarket chain

What is the best sales month? What is the revenue for that month? In which city were the most products sold? At what time should we advertise to increase sales? What products are frequently bought together? Which product has the highest sales?

ETL on Talend

Customer relationship

I have created customer relationship dashboard

Customer Basket Fraud Detection - BNP Paribas

The objective of this challenge is to find the best method to transform and aggregate data related to a customer's shopping basket from one of our partners to detect cases of fraud. By utilizing this basket data, fraudsters can be identified and subsequently rejected in the future.

Mobile money fraud detection

In this ML project, we'll use one month of Mobile Money transaction data to train a fraud detection model, a key AI application in Finance. We'll import, analyze, engineer features, and train the model.

Hackaton in Data Science at Leyton (Casanearshore)

This competition aimed to summarize the texts and images contained in articles or others scientific documents in order to facilitate the documents reading of the Phd students and allow them to gain time.

Graphical application for stock management of the wholesale distributor Oriental Group

Oriental Group is a producer and exporter of argan oil-based cosmetic products in Marrakech. We used the Integrated Development Environment (IDE) Eclipse, where we installed Windows Builder to create the graphical interface.

In this project, I develop a streamlit application that recognize objects in an image by using Yolo v8

Deployment of a WordPress application with Vagrant and Docker

Processing large-scale data of American donors using Spark

Text to speech incremental method

The objective is to implement the approach outlined in the paper within the framework of the Tacotron1 model (based on the full-sentence method, code available here: https://github.com/ttaoREtw/Tacotron-pytorch) and to be able to generate a small TTS system incrementally.

Churn_customer

We built a Machine Learning model to predict customer churn for a company

Time series analysis

Movie Recommendation Chatbot

Social Media Analysis

I scraped a youtube video then analysed it Develop a mini project to extract, analyse and visualise data from a data source of your choice ( Twitter /youtube/facebook,...) using other Python libraries than the one seen in the course.

Linux-Ubuntu

Develop a web application to manage data on interns