PROFILING AS A PROFESSION: KEY SKILLS, PERSONALITY TRAITS, AND SPECIALIST TRAINING

The purpose of this article is to examine the key skills, personality traits, and professional training of specialists in the field of profiling, which is becoming increasingly relevant in the context of the development of modern technologies and interdisciplinary approaches to behavior analysis. The relevance of the topic is driven by the rapid changes in criminology, law enforcement, and the business environment, where the analysis of behavioral patterns is becoming an integral part of decision-making processes. Profiling requires a combination of advanced professional knowledge, interpersonal skills, and the ability to adapt to new technologies, such as big data and artificial intelligence. The methodological foundation of the article is based on a review of contemporary scientific literature on the professional training of profilers, the five-factor model of personality, and an analysis of innovative technologies affecting the development of this profession. The article employs methods of systematic and comparative analysis, which allowed for a synthesis of data on key skills and personality traits of profilers, as well as an exploration of the connection between these traits and job performance in various sectors. Theoretical modeling methods were also used to structure recommendations for educational institutions and practicing profilers aimed at improving their training and professional development. The results demonstrate that successful profiling requires a combination of key skills, including analytical abilities, communication skills, attentiveness, critical thinking, and emotional intelligence. Additionally, personality traits such as extraversion, conscientiousness, emotional stability, openness to experience, and agreeableness are crucial for enhancing the effectiveness of a profiler’s work in interpersonal interactions and stressful situations. It was found that the introduction of modern technologies, such as artificial intelligence and big data, is radically transforming profiling by increasing the efficiency of behavioral analysis, while also creating new ethical challenges. The practical value of the article lies in the development of recommendations for educational institutions and practicing profilers on integrating new technologies into the training process and skill development. Educational institutions should integrate courses on big data analysis and artificial intelligence into profiling training programs, while practitioners are advised to continuously improve their qualifications through technical training and the development of emotional intelligence. The conclusions of the article emphasize the importance of a balanced combination of professional knowledge, interpersonal skills, and technical preparation for enhancing the effectiveness of profilers in a rapidly changing environment. Key words: profiling, key skills, personality traits, five-factor model, artificial intelligence, big data, emotional intelligence, professional training.