AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
lorma colleges
computer engineer
August 5, 2018 – Present
The candidate scored 69% on the Data Engineer — Data Platforms test, indicating a solid but not expert grasp of the subject matter.
Strengths
Limitations
Cultural Fit Analysis
The candidate's experience in petroleum inspection and content moderation, while demonstrating adaptability and attention to detail, does not directly align with the target role of an AI/ML Engineer. The projects section is empty, limiting insight into personal initiative or specific interests in AI/ML. The breadth of skills listed is generic and lacks specific AI/ML or programming proficiencies. This suggests a significant gap in direct cultural and technical fit for an AI/ML role without substantial upskilling and project experience.
Soft Skills & Operational Fit
The candidate's resume highlights soft skills such as teamwork, time management, leadership, effective communication, and critical thinking. The psychometric test score of 283/500 suggests average performance in areas like logical reasoning, work attitude, stress handling, and team collaboration. The English test score of 62/100 indicates room for improvement in professional communication clarity.