Elyes Omri

I'm a Data Engineer with a software engineering background, specializing in machine learning and data science. During my year-long remote position with Ilmam Consulting (Saudi Arabia), I developed and maintained data-intensive web applications using Django and Python, focusing on automated data extraction and analysis.

My most notable achievement was at ODDO-BHF, where I implemented a LSTM Autoencoder model for financial time series anomaly detection, improving accuracy from 62% to 91% and saving 4 hours of daily operational time. I've also built several end-to-end ML solutions, including an AWS-based stock prediction system and a multi-label classification system for underwater images achieving 82% accuracy.

I'm particularly passionate about MLOps and cloud computing, with hands-on experience in AWS services (EC2, Lambda, S3) and big data technologies. I enjoy automating complex workflows and building scalable data solutions that deliver real business value.

Technical expertise:

• Languages: Python, SQL

• Frameworks: Django, TensorFlow, PyTorch

• Cloud: AWS

• Data: Pandas, NumPy, Scikit-learn

• Databases: MS SQL Server, PostgreSQL, MySQL

I'm seeking opportunities where I can leverage my combined expertise in data engineering and machine learning, preferably in a remote setting where I've already proven my ability to deliver results.