Chaima BOUGHANMI is a 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 the current missions, she specializes in Marketing Mix Modeling (MMM) and ROI market research, with a focus on quantifying the effects of marketing decisions and estimating the value of intangible assets through 3-dimensional modeling—mathematical, financial, and visual. Her expertise includes implementing Machine Learning (ML) models such as Random Forest and XGBoost to solve customer issues, along with developing attribution models using Markov chains. She creates interactive dashboards and graphs with Shiny to enhance data visualization. Additionally, She has experience in synergy calculation methods for multiplicative models within MMM and in estimating Bayesian models using PySTAN and Markov Chain Monte Carlo (MCMC) methods.
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, Chaima 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 obviously 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 at GREYC laboratory.
With the Paris Saclay team, Chaima and her teammates qualified for the 2022 france championship, finishing first in île de France and 5th in all of France.
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
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Data Science applied to the planning process: creating value through exploration and analysis of brute data:
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: