I’m a passionate engineer in Statistics and Data Analysis, graduated from ESSAI and holding a research master’s degree in Data processing and Complexity of Living Systems from ENIT and Paris Descartes university.
I was working as a Data Scientist in the Banking industry specialized in Credit Risk management. I’m experienced in using data science tools like R, Python and SQL to build data solutions.
Currently, I’m a Business Intelligence Consultant at Prime Analytics based in Paris, France. My role consists of proposing data solutions and strategies to business challenges after understanding customer requirements. I’m using technologies like Power BI, Tableau, and Alteryx in order to make smart informed decisions. I’m also a Professional Scrum Master I certified. I’m delighted of being part of an international company that allows me to expand my work on an international scale and get larger responsibilities abroad.
I was also extremely happy to be selected as a Diversity Scholar in conjunction with the rstudio::global virtual conference in January 2021. This valuable scholarship gives me opportunities for online networking and support before and during the virtual conference.
I use many programming languages and softwares for building data solutions. I love programming and building complex systems, but I also love organizing communities built on knowledge sharing. That’s why I decided to combine these two, by co-foundering of three communities: Tunis R User Group, PyLadies Tunis and R-Ladies Tunis.
I’m also delighted to be part of the R-Ladies Global Team as being responsible for the Onboarding Process. I love participating in widening the R-Ladies communities worldwide. As it was said: “Those who are happiest are those who do the most for others.” - Booker T. Washington
I’m also the community organizer of R-Ladies Paris and member of Arab-R committee.
I’m so happy for being part of these great communities. These experiences are helping me to expand my network, meet amazing people worldwide, get inspired by them, and improve my R and Python skills.
This website is built with blogdown and Hugo, and deployed using Netlify.
Research Master's degree in Data Processing and Complexity of Living Systems, 2019
Doctoral School for Engineering Sciences and Techniques attached to the National Engineering School of Tunis ENIT
Comptuer Science Master's degree, 2019
Paris Descartes University
Engineer Degree in Statistics and Data Analysis, 2018
Higher School of Statistics and Data Analysis ESSAI-Tunis
Implementation of data solutions and strategies to business challenges
Development of solutions with agility and ensuring a good user experience
Understanding and prioritizing business and stakeholder requirements
Implementation of the Customer Management System (identification of the project context, their functional and technical requirements)
Automating analytical tasks with Alteryx
Participation in the development of a reprocessing and editing solution for financial statements in accordance with the International Financial Reporting Standards - IFRS:
Understand customer requirements, participate in consulting proposals
Creation of analytical workflows
Development of an Analytical banking solution that provides a development environment bringing together a set of techniques and features for performing analyzes:
Undertaking Processing (cleaning, cleansing, feature engineering and verifying data integrity) of structured and unstructured data
Performance of machine learning algorithms
Deriving insights from data and present it to a non-technical audience through presentations and visualization techniques.
Development of a Data Visualization solution that allows automatic processing of large amounts of information and transforming them into interactive dashboards that easily reflect the functioning of the bank and the results generated by the various actions implemented.
Technologies: Alteryx, Power BI, Tableau Software
Project: Validation of the Internal Rating System of companies
Project: Construction of Internal Rating Models
Project: Creation of Dashboards for monitoring Corporate Credit Risk
Technologies: R, R Shiny dashboard
Technologies: Python, OpenCV, Tesseract
Project: Construction of a food recommendation system
Technologies: R, Python
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