Help & Supportcareers@gravityer.com
Data with less than a year in Data Science & Machine Learning
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 Data Analyst with a Science background and hands-on training in Python, Excel, Power BI, and AI tools. I aim to bring analytical thinking and data visualization skills to a dynamic organization where I can continue learning and contribute to impactful projects.
University of Calicut
Bachelor of Science
August 1, 2022 – June 30, 2025
ATEES Global
Data Science Intern
August 1, 2025 – February 1, 2026
India
Customer Churn Analysis Dashboard
June 25, 2026 – Present
Built a 4-page Power BI dashboard analyzing churn behavior across contract type, payment method, internet service, and tenure Developed DAX measures including churn rate, senior citizen ratio, dependents, average monthly charges, and service adoption metrics Identified high-risk segments such as month-to-month contracts and electronic check users, providing actionable retention insights Designed an interactive dashboard with slicers enabling dynamic stakeholder drill-down and data-driven decision making
Loan Prediction System
June 25, 2026 – Present
Developed a predictive model using logistic regression with 85% accuracy Performed EDA and feature engineering to improve prediction performance Performed exploratory data analysis (EDA) and data cleaning to handle missing values, outliers, and feature distributions, improving data quality Engineered and selected relevant features to enhance model performance, increasing prediction accuracy by 12% Evaluated model performance using accuracy, precision, recall, and F1-score to ensure robust predictions Optimized model performance using hyperparameter tuning techniques, improving generalization on unseen data
Low Attendance Alert System
June 25, 2026 – Present
Designed a SQL-based system to track attendance and generate automated alerts Optimized SQL queries using joins and aggregation functions, improving data retrieval efficiency by 30% Implemented automated alert generation logic based on attendance thresholds, enabling proactive monitoring and decision-making
Cultural Fit Analysis
The candidate's projects demonstrate a diverse application of data skills across different domains (loan prediction, customer churn, attendance tracking), which indicates adaptability and a willingness to tackle varied challenges. The listed technologies and concepts align well with a data-centric role, suggesting a strong interest and foundational knowledge in the field. The internship experience further solidifies this alignment.
Soft Skills & Operational Fit
The candidate's project descriptions highlight a methodical approach to problem-solving, including data cleaning, feature engineering, model evaluation, and optimization. The focus on 'actionable insights' and 'proactive monitoring' suggests an understanding of the practical application of data science. However, without direct interview data, it's difficult to assess collaboration, stress handling, or communication in a team setting.