Help & Supportcareers@gravityer.com
Software Developer with less than a year in Software Development and Data Science.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
MCA graduate with a strong foundation in software development and data science. Passionate about building technology-driven solutions and uncovering insights through data. Recently completed a Data Science course covering Python, machine learning, and data visualization. Eager to apply technical skills in an entry-level role in software development or data science.
Cultural Fit Analysis
The candidate shows a breadth of interest across software development, data science, and some exposure to DevOps, which indicates adaptability and a willingness to learn diverse technologies. The projects are standard academic web applications, which align with an entry-level software developer role. The objective statement clearly articulates an eagerness to apply technical skills in an entry-level role, suggesting a good fit for foundational roles where continuous learning is expected. However, the lack of professional experience means cultural fit is primarily inferred from academic projects and stated interests.
Soft Skills & Operational Fit
The resume indicates a candidate with a foundational understanding of software development and data science. The project descriptions suggest an ability to work on end-to-end application development and an interest in real-time systems. However, without psychometric or English test scores, it's difficult to assess soft skills like logical reasoning, work attitude, stress handling, or team collaboration. The candidate's experience level is marked as 0, suggesting an entry-level profile despite the MCA degree and project work.