Help & Supportcareers@gravityer.com
Data Science with 2+ years in Machine Learning & Predictive Modeling.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Results-driven Data Scientist with hands-on expertise in Machine Learning, Deep Learning, NLP, and Computer Vision. Proven ability to build end-to-end ML pipelines, deploy Flask-based REST APIs, and translate complex data insights into measurable business outcomes. Proficient in Python, SQL, TensorFlow, Scikit-Learn, and Power BI. Passionate about solving real-world problems through data-driven approaches.
Gurugram University
Bachelor of Computer Applications (BCA)
August 1, 2021 – June 30, 2024
Natural Disaster Prediction System
January 1, 2024 – June 1, 2026
Architected a hybrid model combining time-series forecasting with supervised ML classifiers to predict natural disaster risk, improving prediction reliability by 15%. Implemented data preprocessing pipeline including feature scaling, cross-validation, and advanced feature engineering on multi-source environmental datasets. Optimized model performance through systematic hyperparameter tuning, reducing overfitting and improving generalization.
Loan Defaulter Prediction
January 1, 2024 – June 1, 2026
Engineered a binary classification pipeline using Logistic Regression and Random Forest, applying SMOTE to handle class imbalance, achieving 80% prediction accuracy. Reduced false negative rate by 10% through strategic feature engineering, PCA dimensionality reduction, and cross-validation tuning. Deployed model as a production-ready Flask REST API, enabling real-time loan risk scoring for financial decision-makers.
Customer Segmentation & Marketing Intelligence
January 1, 2024 – June 1, 2026
Applied K-Means clustering algorithm to segment 10,000+ customers based on behavioral and demographic attributes, uncovering 5 distinct customer personas. Built interactive Power BI dashboards to visualize segment performance metrics, enabling marketing team to design targeted campaigns and improve ROI. Performed comprehensive EDA and feature engineering to prepare raw transactional data for clustering analysis.
Data Science Professional Training
Ducat Institute
June 1, 2026 – Present
Power BI Data Visualization
Ducat Institute
June 1, 2026 – Present
SQL Certification
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity (natural disaster prediction, loan defaulter prediction, customer segmentation) shows a broad interest in applying data science across different domains. The target role is 'Data Science', which aligns well with the candidate's stated professional summary, technical skills, and project experience. The breadth of skills, including various ML/DL frameworks, techniques, and data/BI tools, suggests adaptability and a willingness to learn. However, the lack of professional experience means there's no direct evidence of fitting into a corporate culture or working within a team structure.
Soft Skills & Operational Fit
The candidate demonstrates a results-driven attitude and a passion for solving real-world problems through data-driven approaches. The project descriptions indicate an ability to work on complex problems and deliver measurable business outcomes. However, without specific assessment data on communication, logical reasoning, stress handling, or team collaboration, a comprehensive evaluation of soft skills and operational fit is limited. The candidate's experience is primarily from personal projects, which may indicate self-motivation but lacks evidence of collaborative work in a professional setting.