Help & Supportcareers@gravityer.com
Data Science with less than a year in machine learning and 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
Aspiring Machine Learning and Python developer with hands-on experience in data analysis and model building. Proficient in Python, Pandas, NumPy, Scikit-learn, and SQL with strong understanding of machine learning and data preprocessing.
Karpagam University
Master of Computer Applications (MCA)
August 1, 2025 – June 30, 2025
Anja College
Bachelor of Science in Computer Science
August 1, 2023 – June 30, 2023
AI Variant
Data Scientist
March 1, 2025 – December 1, 2025
India
CO2 Emissions Analysis using ML
June 16, 2026 – Present
• Performed data preprocessing, EDA, and visualization • Built regression models to predict emission levels
Telecommunication Customer Churn
June 16, 2026 – Present
• Developed ML model to predict customer churn • Performed EDA and feature engineering
Resume Classification using ML
June 16, 2026 – Present
• Built Bi-Directional LSTM model • Applied data augmentation techniques
Data Science Course
EXCELR
December 1, 2025 – Present
Cultural Fit Analysis
The candidate's academic projects cover diverse applications of machine learning (environmental analysis, customer churn, NLP), indicating a broad interest in data science problems. The single professional experience as a Data Scientist aligns well with the target role. The breadth of skills listed (Python, SQL, various ML libraries and concepts) suggests adaptability. However, the limited professional experience (9 months) and academic nature of most projects mean the cultural fit assessment is primarily based on potential and stated interests rather than extensive real-world collaboration or diverse work environments.
Soft Skills & Operational Fit
The candidate's resume indicates collaboration with team members, suggesting an ability to work in a team environment. The project descriptions are concise, which implies a direct communication style. However, without specific behavioral assessment data, a comprehensive evaluation of soft skills and operational fit is limited.