Mahmoud Trigui
@mahmoudtrigui
Data scientist specializing in machine learning for structured data, time series forecasting, NLP, and feature engineering.
What I'm looking for
I am a data scientist with 9+ years of experience delivering machine learning and analytics solutions across telecom, VC intelligence, and consulting contexts. I specialize in structured tabular data analysis, time series forecasting, NLP/LLM implementations, and advanced feature engineering, and I consistently produce production-ready pipelines and automated reporting systems.
My work includes building PDF information extraction with GPT-4, achieving ~5% RMSE on FTTH access order forecasts, migrating models into Dataiku production flows, and developing investor-startup predictive models and interactive Shiny analytics. I combine R and Python expertise with strong analytical thinking and a commitment to continuous learning and competitive programming to drive measurable business impact.
Experience
Work history, roles, and key accomplishments
Data Scientist
Sofrecom Tunisia
Feb 2024 - Present (1 year 8 months)
Developed automated LLM-based PDF audit information extraction and deployed FTTH access orders forecasting achieving ~5% RMSE; migrated and productionized ML pipelines on Dataiku to improve performance and scalability.
Data Scientist
Kiota Intelligence
Mar 2021 - Feb 2023 (1 year 11 months)
Built R-based predictive models for VC use cases (startup survival, Series A probability), created Shiny dashboards and automated RMarkdown reporting to support investor decision-making.
Part-time Lecturer
International School of Business
Feb 2022 - Dec 2022 (10 months)
Delivered statistics lectures and course materials to graduate students, developing curriculum and assessments to strengthen applied statistical knowledge.
Data Scientist
Tunisia Telecom Group
Jan 2018 - Mar 2020 (2 years 2 months)
Led customer segmentation, multi-SIM detection, and family community analyses by building ABTs, K-means clustering and scoring systems, and implemented automated classification and SAS-based analytical workflows for CVM.
Freelance Data Scientist
Freelance
Nov 2018 - Jan 2020 (1 year 2 months)
Delivered custom ML solutions including NLP classification, IoT sensor analytics, social media analytics, and developed ML training materials and Python notebooks for applied learning.
Data Analyst
Tunisia Telecom Group
Jun 2016 - Dec 2017 (1 year 6 months)
Provided SQL-driven dashboards and ad-hoc analyses for CVM, automated reporting with VBA, and produced business recommendations to support sales growth and network KPI monitoring.
Research Statistician
LAAS-CNRS
Jun 2015 - Dec 2015 (6 months)
Developed behavioral pattern recognition and real-time intrusion detection algorithms for a smart-home security project and authored a related research publication.
Education
Degrees, certifications, and relevant coursework
MIT xPRO
Professional Certificate, Data Science
2016 - 2016
Completed the professional course 'Data Science: Data to Insights' focused on applied data science techniques and practical analysis workflows.
Higher School of Statistics and Data Analysis (ESSAI)
Bachelor's Degree, Statistics and Data Analysis
2011 - 2015
Undergraduate studies in statistics and data analysis with engineering school orientation, covering statistical modeling and data analysis methods.
IPEIS (Preparatory Institute for Engineering Studies)
Preparatory Studies Diploma, Mathematics and Physics (Preparatory)
2008 - 2011
Completed preparatory coursework in mathematics and physics to prepare for engineering competitive exams and entrance to engineering schools.
High School (Computer Sciences)
High School Diploma, Computer Sciences
2008 - 2008
Grade: First Class Honors
Graduated high school with a specialization in computer sciences, awarded First Class Honors.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Portfolio
tinyurl.com/MT7PortfolioSocial media
Job categories
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