Hi, I'm Mohamed Amine Ben Abdessalem, a statistician engineer specializing in data analysis and predictive modeling. I have strong experience in Generative AI, large language models, and Vision-LLMs, and I'm skilled in Python, SQL, and Power BI. I enjoy leveraging data-driven solutions to solve real-world problems. I have a solid academic background in statistics and information analysis, and I've worked on projects like churn prediction and AI-based retention systems for telecom and AI-driven invoice information extraction. I'm passionate about applying AI and machine learning techniques to create impactful applications.

MOHAMED AMINE BEN ABDESSALEM

Hi, I'm Mohamed Amine Ben Abdessalem, a statistician engineer specializing in data analysis and predictive modeling. I have strong experience in Generative AI, large language models, and Vision-LLMs, and I'm skilled in Python, SQL, and Power BI. I enjoy leveraging data-driven solutions to solve real-world problems. I have a solid academic background in statistics and information analysis, and I've worked on projects like churn prediction and AI-based retention systems for telecom and AI-driven invoice information extraction. I'm passionate about applying AI and machine learning techniques to create impactful applications.

Available to hire

Hi, I’m Mohamed Amine Ben Abdessalem, a statistician engineer specializing in data analysis and predictive modeling. I have strong experience in Generative AI, large language models, and Vision-LLMs, and I’m skilled in Python, SQL, and Power BI. I enjoy leveraging data-driven solutions to solve real-world problems.

I have a solid academic background in statistics and information analysis, and I’ve worked on projects like churn prediction and AI-based retention systems for telecom and AI-driven invoice information extraction. I’m passionate about applying AI and machine learning techniques to create impactful applications.

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Experience Level

Expert
Expert
Intermediate
Intermediate

Work Experience

Data Scientist, Final Year Project at Ooredoo Tunisia
June 30, 2025 - July 18, 2025
Designed and deployed a predictive churn model for Ooredoo Tunisia with an interactive dashboard. Performed full data preprocessing including cleaning, missing value imputation, time aggregation, and trend extraction via linear regression. Engineered monthly features and conducted feature selection using statistical techniques and interpretability tools such as Random Forest, SHAP, and LIME. Trained and optimized supervised models including Logistic Regression, XGBoost, Random Forest, TabNet, and Neural Networks using SMOTE/ADASYN and F1-score thresholding, achieving an F1-score of 0.79 and precision of 0.80. Integrated a generative AI model (LLaMA 3) via API to automatically generate explanations and retention emails.
AI Developer, Engineering Internship at KPMG Tunisia
July 31, 2024 - July 18, 2025
Built a multilingual OCR pipeline using pytesseract to extract text from financial invoices. Integrated Google Gemini Vision-LLM for interpreting invoice images and generating textual summaries. Organized extracted data and managed user queries in a structured SQLite database.

Education

Engineering degree at Higher School of Statistics and Information Analysis (ESSAI)
January 1, 2022 - June 30, 2025
Preparatory cycle at Preparatory Institute for Engineering Studies of Monastir (IPEIM)
January 1, 2020 - December 31, 2022

Qualifications

Add your qualifications or awards here.

Industry Experience

Telecommunications, Financial Services, Professional Services, Software & Internet