Houssem Eddine AZZAG

• Role: Engaged with SNDS data (Système National des Données de Santé) for the French government. • Focus Area: Specialized in leveraging machine learning and deep learning algorithms for early cancer prediction. • Expertise: Proficient in using various algorithms including LSTM, RFC, CNN, among others. • Responsibilities: Involved in data preparation and ensuring data quality for effective analysis.

• Developed and designed the Fel7in delivery app, consisting of four key components: Client app, Delivery Man app, Admin app, and Store app. • Significantly contributed to the app's success, leading to a user base of over 3,500 users. • Achieved a remarkable improvement of over 60% in request handling, enhancing the overall app performance. • Successfully reduced server calls by an impressive 88%, resulting in improved efficiency and cost-effectiveness. App link : https://play.google.com/store/apps/details?id=com.neuer.fielhin

• Data cleaning and all prepossessing methods . • Use of all Machine learning and Deep learning algorithms such as : Logistic regression (LR) , Random Forest (RF) , Decision Tree (DT) , MLP , CNN , LSTM . • Create AI model using medical data . • Deploy and integrate AI model in a system .

https://www.freelancer.com/u/houssemneuer