Open to opportunities

Samar Errahem

@samarerrahem

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Data science graduate focused on machine learning, computer vision, and NLP.

Tunisia

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What I'm looking for

I’m looking for an entry-level role where I can apply machine learning to real problems—ideally computer vision or NLP—while building production-ready skills. I want a collaborative team and projects that value accuracy and efficiency.

I’m a Data Science graduate with a strong focus on Machine Learning, Deep Learning, Computer Vision, and NLP, built through hands-on applied projects. My work centers on turning complex inputs into automated, reliable outputs—especially where accuracy and efficiency matter.

In my master’s thesis, I developed an AI-powered Intelligent Civil Engineering Plan Verification System for DÉKORTIK+, combining YOLOv8, EasyOCR, and a BiLSTM-CRF NLP pipeline to automate plan verification. I also designed an intelligent analyzer system for VOR navigation signals, using signal processing and embedded/real-time monitoring, with LabVIEW-based AM/FM modulation/demodulation, RTL-SDR data acquisition, and a web remote control interface using Arduino, MySQL, and HTML5/CSS3/JavaScript.

Experience

Work history, roles, and key accomplishments

Master's Thesis: Plan Verification

ISSAT Gafsa

Sep 2024 - Jun 2026 (1 year 9 months)

Developed an AI-powered intelligent civil engineering plan verification system for DÉKORTIK+ using YOLOv8 for computer vision, EasyOCR for OCR, and BiLSTM-CRF for NLP to improve accuracy and efficiency.

Machine Learning Deep Learning Computer Vision NLP Python Flask Data Mining Big Data Cloud Computing YOLOv8 BiLSTM CRF

VOR Navigation Signal Analyzer

ISSAT Gafsa

Sep 2020 - Jun 2023 (2 years 9 months)

Designed and implemented an intelligent analyzer for VOR (VHF Omnidirectional Range) navigation signals, including signal processing, remote monitoring, and embedded systems.

Signal Processing Telecommunications Embedded Systems LabVIEW Arduino RTL SDR MySQL HTML5 JavaScript Remote Monitoring Python Data Acquisition AM FM Modulation and Demodulation

Education

Degrees, certifications, and relevant coursework

Institut Supérieur des Sciences Appliquées et de Technologies de Gafsa - ISSAT Gafsa

Master, Science des données

2024 - 2026

Master's Thesis – Intelligent Civil Engineering Plan Verification System
Developed an AI-powered system for automated verification of civil engineering plans for DÉKORTIK+, combining Computer Vision (YOLOv8), OCR (EasyOCR), Natural Language Processing (BiLSTM-CRF) to improve the accuracy and efficiency of plan verification.
Key Skills: Machine Learning, Deep Learning, Computer Vision, NLP, Python,

ISSAT Gafsa

Master, Science des données

2024 - 2026

Activities and societies: Machine Learning, Deep Learning, Computer Vision, NLP, Python, Flask, Data Mining, Big Data, Cloud Computing

Master's thesis on an AI-powered intelligent civil engineering plan verification system for DÉKORTIK+. Used computer vision (YOLOv8), OCR (EasyOCR), and NLP (BiLSTM-CRF) to automate and improve plan verification accuracy and efficiency.

Institut Supérieur des Sciences Appliquées et de Technologies de Gafsa - ISSAT Gafsa

Licence, Technologies de l'Information et de la Communication

2020 - 2023

Designed and implemented an intelligent analyzer system for VOR (VHF Omnidirectional Range) navigation signals, combining signal processing, remote monitoring, and embedded systems. Developed modulation/demodulation algorithms (AM/FM) using LabVIEW, implemented real-time data acquisition with RTL-SDR, and created a web-based remote control interface using Arduino, MySQL database, and web technolog

ISSAT Gafsa

Licence, Technologies de l'Information et de la Communication

2020 - 2023

Activities and societies: Signal Processing, Telecommunications, Embedded Systems, LabVIEW, Arduino, RTL-SDR, MySQL, Web Development (HTML5/CSS3/JavaScript), RF Communication, Remote Monitoring & Control, Python, Data Acquisition

Licence degree focused on technologies for information and communication. Developed an intelligent analyzer system for VOR navigation signals, including AM/FM modulation/demodulation with LabVIEW, real-time acquisition with RTL-SDR, and a web-based remote monitoring/control interface using Arduino, MySQL, and HTML/CSS/JavaScript.