Anass Zniyi

Highly motivated Data Science and Machine Learning professional with a strong foundation in computer science and a proven ability to apply analytical techniques for actionable insights. Specialized in AI-driven solutions and passionate about leveraging data to drive innovation and efficiency.

• model to detect emotions from tweets, achieving an impressive 90% accuracy. Stock Market Price and Anomaly Detection Designed a model to predict stock market trends and identify anomalies, utilizing time series analysis and machine learning. Creating New Airline Routes Based on Foreign Nationalities in Cities Utilized data analysis to propose new airline routes based on foreign nationalities in cities, employing clustering algorithms for customer segmentation. eCommerce Mobile Application Developed an eCommerce mobile app using Android Studio as part of the ISGA Master's program. The project involved the use of NoSQL for database management and advanced data networking for robust app functionality.