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abdelmonim klai

@abdelmonimklai

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Senior Data Scientist at Ooredoo Tunisia who drove 5% incremental revenue with reinforcement learning.

Tunisia

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At Ooredoo Tunisia, I designed a reinforcement learning-based NBA orchestration system for customer targeting and product selection that generated 5% incremental revenue. I also engineered a Next Best Offer recommendation engine that achieved 80% recall.

At Ooredoo Tunisia, I built churn prediction and forecasting models to support proactive retention and sales planning. The churn model achieved 82% recall and helped reduce churn by 1.2% through retention campaigns.

At Biware Consulting, I built energy demand forecasting models for ENEO Cameroon that achieved 4% MAPE. I also developed recommendation and cross-sell models, and delivered Python and SAS Viya training sessions to functional teams.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Scientist

Current

Ooredoo Tunisia

Sep 2024 - Present (2 years 2 months)

Designed and implemented a reinforcement learning-based NBA orchestration system, built RFMI segmentation models, and developed a Next Best Offer recommendation engine. Created a real-time computer vision game and implemented churn prediction, forecasting, and classification models.

Python SQL Reinforcement Learning

RFMI Segmentation

Recommendation Systems Computer Vision DeepFace OpenCV Churn Prediction Forecasting Classification scikit learn XGBoost

LightFM

Skforecast

TensorFlow MLFlow

Data Scientist

Biware Consulting

May 2022 - Aug 2024 (2 years 3 months)

Built multi-scale energy demand forecasting models using Azure Synapse, developed cross-sell models, implemented a recommendation system for digital products, and delivered Python and SAS Viya training sessions.

Python SQL Azure Synapse Forecasting Recommendation Systems

Cross Sell Modeling

SAS Viya

Machine Learning

Data Scientist

Tunisie Telecom

Jan 2021 - Apr 2022 (1 year 3 months)

Trained a monthly machine learning model to predict customer attrition, segmented over 3 million prepaid customers through behavioral clustering, and designed segmentation based on telecom usage patterns.

Python SQL Machine Learning Churn Prediction Customer Segmentation Clustering

Data Scientist Intern

Ooredoo Tunisia

Feb 2020 - Jul 2020 (5 months)

Developed a sentiment analysis engine for Tunisian-dialect Facebook comments and survey responses, applying custom text preprocessing and deep learning models through an interactive Python-Dash dashboard.

Python Sentiment Analysis NLP Deep Learning Dash

Education

Degrees, certifications, and relevant coursework

ESSAIT

Engineering Degree, Statistics and Information Analysis

2017 - 2020

Engineering Degree in Statistics and Information Analysis from ESSAIT, with relevant coursework in probability, statistics, econometrics, data mining, and time series.

IPEIN

National Entrance Exam for Engineering Schools, Engineering Preparation

2013 - 2017

Preparatory studies for the National Entrance Exam for Engineering Schools, covering mathematics, physics, chemistry, and industrial sciences.

Coursera

Online Course, Machine Learning

Completed online courses in RAG for Generative AI Applications, TensorFlow Developer, Machine Learning with Python, and Machine Learning with SAS Viya.