Data Analyst with Expertise in Artificial Intelligence and Machine Learning Algorithms

Abstract

This research examines the role of AI-powered data analysts concerning their practices and tools and evaluates effects on industry-specific applications. Artificial Intelligence combined with Machine Learning tools has changed how businesses and organizations analyze large datasets. Analysts with AI and ML skills are fundamental in the domains of predictive analytics automation, and decision-making. The augmenting usage of AI-powered models improves the precision, efficiency, and scalability across finance, healthcare, cybersecurity, and marketing. This study employs a sequential exploratory paradigm guided primarily by a comprehensive review of the literature and case study analysis. The literature covers the latest developments in AI and ML, such as supervised or unsupervised, deep learning reinforcement learning. The case studies from different industries show the use of AI-powered data analytics. Predictive analytics, anomaly detection, and data visualization using AI models are evaluated through reports, journal articles, and industry white papers. The employment of artificial intelligence and machine learning in data analysis is a game changer since analysts can work with massive datasets in a more automated and precise manner. The results recommend that AI integration within data analytics fosters a sharp increase in predictive assumptions, facilitates decisions, and improves business processes. Nonetheless, obstacles like algorithmic discrimination, ethical issues, and data protection remain important issues to be resolved for the long-term sustainability of artificial intelligence.