Ihssene Ghazouani

Detail-focused Data Scientist with knowledge in process validation and business needs analysis,
gathering, cleaning, and organizing data. Proven to understand customer requirements and translate
into actionable project plans. Highly organized, motivated and diligent with significant background in AI.

Aug 2022 - Current
GoMyCode l Tunis
Data Science Instructor
Conducted instructor sessions on Python for Data Science, Introduction to Artificial
Intelligence (AI), and Data Science Bootcamp, covering Statistics Fundamentals, Data
Visualization using Tableau, Data Analytics with Python/EDA, Machine Learning
Algorithms, Deep Learning, and Neural Networks.
Developed and taught machine learning courses including machine learning
welcoming, regression analysis, classification analysis, feature selection and
optimization with cross-validation & hyper-parameter tuning.
Mentored students on machine learning and deep learning projects, monitored and
operated incoming and outgoing data flows.
2021 - 2022
Pasteur Institute and CRMN Sousse Technopôle l Tunis, Sousse
Research Master’s Internship
Conducted research on tumor biomarkers, including their characterizations,
development of nanostructures, and contribution to physicochemical and biochemical
characterization via biostatistical results using Python and machine learning tools.
Optimized model performance by tuning hyperparameters.
2020
National Center for Nuclear Sciences and Technologies CNSTN, l Tunis
Physics Researcher
Conducted experiments and performed variance analysis on optimal number of
samples and effect size using Python, scikit-learn, and machine learning tools.

2022
Master of Science in
Nanotechnologies and Nanophysics,
Faculty of Science of Tunis
2019
Bachelor of Science in Fundamental
Physics and Chemistry
Faculty of Science of Tunis