Mohamed Omar Sahnoun
My AI Portfolio
MohamedOmarSahnoun.github.io
Hi 👋, I'm Mohamed Omar Sahnoon
An AI Engineer from Tunisia
- 🌱 I’m currently learning MLOps on the Google Cloud Platform.
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💬 Ask me about Python, ML, Deep Learning, NLP, Time Series
- 📫 How to reach me mohamed.omar.sahnoun@essai.ucar.tn
Connect with me:
Work Experience:
Artificial Intelligence Intern @Welyne(September 2024 - December 2024)
🔊 Speech-to-Text API: Develop an API that converts voice to text in real-time.
🗣️ Text-to-Speech API: Create an API that generates natural-sounding voice from text.
🤖 Intelligent Chatbot: Develop an interactive chatbot by integrating voice APIs to enhance user experience.
Skills: Google Cloud Speech, DeepSpeech, Google Text to Speech API, Tacotron, DialogFlow, Rasa.
Computer Vision Intern @Pixemantic(June 2024 - July 2024)
✅ Gathered and annotated thermal images for patients in different positions (asleep, laying, standing, fallen, …)
✅ Fine-tuning YOLO for fall detection.
✅ The system was designed especially for elderly patients, so that it sends alerts to nurses to act fast to prevent any complications.
Skills: Object Detection, Image Classification.
Data Science Intern @Caustaza Group Ltd (June 2023 - August 2023)
✅ Designing a database for Smartovate ERP project.
✅ Developing Data Visualization APIs for admin dashboard
Skills: Database Design (UML) · PostgreSQL ·Statistical Data Analysis · Django · Finance.
Business Intelligence Intern @Gebisom SUARL (June 2022 - July 2022)
✅ Developing Custom ERP website.
✅ Designing dashboard for sales analysis.
Skills: Business Intelligence · Entreprise Ressource Planning (Odoo) · PowerQuery · PowerBI.
Projects Repositories:
Here are some of the repositories I’ve been working on:
Review & Recitation Assistant: [MemorEase]
📚 An application that aims to help pupils and learners in general memorize their written lessons by hearts. It leverages speech to text NLP models to transcribe spoken words, and than compares it to what the actual sentence is in order to give an overall score.
🔧 Skills: NLP, Python, NLTK, Google Speech API
Sentiment Analysis: [Sentiment Miner]
This project consists of two phases:
- Scrape comments for a given company from linkedin.
- Perform sentiment analysis in order to give an overall rating to the company. The project could serve as an additional feature for credit scoring systems.
🔧 Skills: BeautifulSoup, Selenium, NLP, BERT
Recommender System: [Book Recommendations]
📚 Build the basis of a book recommendation system based on their content.
🔧 Skills: NLP, Tokenization, Stemming, BoW, TF-IDF
Image Classification: Age Detector
This project consists of two phases:
- Training AlexNet from scratch on a set of 20000 facial images. notebook
- Deploy the model on a web application.
🔧 Skills: Computer vision, CNN, PyTorch, Django.
Banking credit risk prediction:
Because of the highly imbalanced data, we used two approaches:
🔧 Skills: Machine Learning, Data Analysis, Python, Credit Risk Assessment.
Data Gathering: Python Web Scraping
🌐 I’ve scraped data from various websites and APIs to gather valuable information for analysis.
🔧 Skills: Web Scraping, Python, BeautifulSoup, Requests, Selenuim, Data Extraction.
Certifications:
Machine Learning Engineering for Production (MLOps)
Deep Learning Specialisation
Machine Learning Specialisation
Languages and Ai Tools:
