Currently, I work as United Remote’s Data Scientist 🧐️, analyzing Talent Pools and improving the efficiency of the hiring process to help find the perfect new hires by leveraging analytics, standing up big-data analytical tools, creating and maintaining data pipelines, and designing compelling data visualization dashboards📊️ 👀️ basically BI 🤦♂️️.
And driven by my passion for graphical design I dived into web development which comes in handy at the end of every "Data Science Product": presenting & communicating results 🎉️.
I worked on a web application for quality management and monitoring compliance with internal standards and regulations. * Back-end: Java EE-Spring boot * Front-end : HTML5 & CSS3 Bootstrap * DBMS: SQLserver
I developed a user-friendly decision support service by making predictions on time series with an automatic selection of the most suitable model (ARIMA, ETS, THETA, Structural models...). * Microservices Architecture * Central service: Java EE-Spring boot * Forecasting service: R language - Plumber
Real-time road traffic modeling for Bab-Zair intersection in Rabat in order to minimize waiting time (using PSO algorithm with tabu search) and reduce the number of conflicts and accidents. * Simulation software: PTV VISSIM * Analysis software: SSAM (surrogate safety assessment model)
I worked on a data integration and visualization project within the Talent Acquisition team where I built an ETL process (executed once a day) to integrate all the information from different sources we gathered on candidates through the steps of the hiring process into one single relational database. Then we connected this database to Metabase to inspect and analyze this data in order to improve the process of hiring and keep track of the performance of the talent acquisition team.
Mention très bien
Classe préparatoire aux grandes écoles
While working on an ETL project using Singer.io, I created this Recruitee Tap to extract and transform data from Recruitee API to then load it to another data warehouse to prepare it for visualization & analyticsView Project
The project is about implementing an app that lists all the available pieces of information about nearby shops (including location, distance, phone numbers ...) based on the location of the user. Main technologies: Java + Spring boot + thymeleaf DB & API : PostgreSQL, TomTom APIView Project