Chaïma Boughanmi

Data Scientist @ BVA Xsight | R shiny developer
Organizer @ R-Ladies Paris
Paris France

Biography

Chaïma BOUGHANMI is a junior data scientist at BVA Xsight in Paris. Data science was the perfectly suited discipline for her. She is an engineer in statistics and information analysis. She holds a master’s degree in data science from Université Paris Saclay and a research master’s degree in information processing and complexity of living systems. Very comfortable with numbers and statistics, she likes to give them meaning and see them have an impact on reality. She has worked in several fields: energy, sports, polling, FMCG, automotive, telecom, media and marketing. During her studies, Ms. Boughanmi acquired experience in mathematical modeling, data analysis, programming, data visualization and machine learning. She also had the opportunity, through her engineering internship, her two end-of-study internships for master’s studies and academic projects, to gain an understanding of the data analysis issues in which she was particularly interested, and to build up experience in this field. Through her studies, Chaïma developed a deep interest in large-scale data analysis and processing, forecasting, optimization, data mining and graph theory. She loves bringing numbers to life, giving them meaning and value. She has a very good mastery of programming languages, especially R and R/shiny. She was a member of R-Ladies Tunis when she was a student and is currently one of the organizers of R-Ladies Paris. She also masters Python, SQL, SAS and, not surprisingly, Latex and Git. Miss Boughanmi is a footballer, so when she’s not playing with numbers and data, she’s playing with the ball ! That’s why she chose to work on tactical analysis of team sports during her Master’s research. With the Paris Saclay team, Chaïma and her teammates qualified for the 2022 france championship, finishing first in île de France and 5th in all of France.

Interests

Statistics & Machine learning
Coding
Data analysis and visualization
Marketing Mix Modeling (MMM)

Education

Master's degree in Data Science, 2022

Université Paris Scalay
Engineering diploma in statistics and information analysis, 2021

Ecole supérieure de la statistique et de l'analyse de l'information
Master's degree in information processing and complexity of living systems, 2021

Ecole d'igénieurs de Tunis
National competitive engineering entrance examination, 2018

Preparatory institute for engineering studies

Skills

R / R shiny

90%

R Markdown

85%

Statistics

80%

Linear models

70%

Econometrics

70%

Data analysis

70%

Data visualization

70%

Machine learning

50%

Marketing Mix Modeling

70%

SQL

65%

Python

50%

Git

70%

Overleaf/Latex

85%

Microsoft office

90%

Playing football & Sport Analytics

85%

Experiences

Volunteer organizer

R-Ladies Paris

September 2023 – Present Paris

Help organize conferences and workshops using the R language.
Make posters, communicate and publish our events and materials (recordings, code, slides) on our social networks.
Contact and host speakers and trainers to promote the use of the R language worldwide.

Data Scientist & Business Modeler

BVA Xsight

November 2022 – Present Paris

Analysing : Marketing Mix Modeling, ROI Market Research : quantify the past and future effects of decisions, estimate the value of intangible assets.
Modelling : 3-dimensional modeling: mathematical to connect all the factors that explain business performance, financial to arbitrate, and visual to collaborate and mediate.
Deploying and visualization : Business Viz, dashboarding and presentation.

Data Scientist

Rte

April 2022 – October 2022 Paris

Data Science applied to the planning process: creating value through exploration and analysis of brute data:

Creation of SQL queries to extract data from various department databases.
Processing and analysis of data required to improve the ‘planning process’.
Creation, publication and documentation of an interactive dashboard using R Shiny.
Classification of ’energy works’ and accuracy of consumption using machine learning algorithms with python.

Statistician trainer

World Health Organization

August 2021 – August 2021 Tunisia

Animating the practical part of the training session for managers of the National Road Safety Observatory.
Application using R, descriptive statistics and inferential statistics.

Data mining researcher

Laboratoire GREYC - University of Caen Normandie

March 2021 – August 2021 Caen, France

Tactical analysis of team sports data : Implementation of an algorithm based on dynamic graphs to identify styles of play by detecting frequent patterns among players in collective sports.
Applying the algorithm to data from the Qatar 2015 handball world cup.
Participation in the editing of a research paper.

Active member

R-Ladies Tunis

January 2021 – August 2021 Tunisia

Help organize conferences and workshops using the R language.
Make posters, communicate and publish our events and materials (recordings, code, slides) on our social networks.
Contact and host speakers and trainers to promote the use of the R language worldwide.

Data Analyst

One to One for Research and Polling

July 2020 – August 2020 Tunisia

KAP survey on early childhood in Tunisia: In partnership with UNICEF, Tunisia resorted to conducting a KAP survey for parenting education (2018) in connection with the National Multisectoral Strategy for Early Childhood Development. My missions were:

Evaluation and analysis of Tunisian parents’ knowledge and practices regarding nutrition, health and the education of young children.
Analyze data and create explanatory graphs.
Calculation of indicators and implementation of R shiny dashboards.