Help & Supportcareers@gravityer.com
Data Science with 1+ years in Machine Learning & Data Analysis.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Computer Science student specializing in AI & Data Science. Proficient in Python, Machine Learning, and Data Visualization. Seeking a fresher Data Science role to apply hands-on project and internship experience.
Sree Narayana Guru college
BSC · Computer science with Artificial intelligence
August 1, 2023 – June 30, 2026
C A Higher Secondary School
Higher Secondary
June 1, 2023 – May 31, 2023
spectrum softtech solution
Data science internship(Machine Learning)
January 1, 2025 – Present
Cochin, Kerala, India
AI-based Phishing Website Detection
June 19, 2026 – Present
Built a phishing URL detector using Random Forest & Logistic Regression on a dataset of 10,000+ URLs. Achieved 94% accuracy. Tools: Python, Scikit-learn, Pandas.
AI-Based Mental Health checker for students
June 19, 2026 – Present
Built an ML web app to predict student mental health risk levels with 88% accuracy using Logistic Regression.
Machine Learning using Watson Studio
IBM Skill Build
January 1, 2025 – Present
Introduction to Artificial Intelligence
Infosys Springboard
January 1, 2025 – Present
Front-End web Development&cloud
Tamil Nadu Skill Development Corporation
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's projects are primarily academic, focusing on common ML applications (mental health prediction, phishing detection). The internship shows exposure to real-world data analysis. The breadth of skills is focused on core Data Science. The certifications indicate a proactive approach to learning. For a fresher role, the candidate shows a good foundational alignment, but lacks diversity in project domains or advanced techniques that would indicate a broader cultural fit for complex, varied challenges.
Soft Skills & Operational Fit
The candidate lists communication, teamwork, problem-solving, adaptability, and leadership as soft skills. While these are valuable, there is no assessment data to validate their proficiency. The project descriptions indicate an ability to work on defined tasks and present findings, suggesting a foundational operational fit for entry-level roles.