Help & Supportcareers@gravityer.com
Data Analyst with 2+ years in Python & SQL
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Detail-oriented Data Analyst with hands-on experience in Python, SQL, Power BI, and Excel. Proven ability to clean and analyze large datasets, build interactive dashboards, and deliver actionable business insights. Experienced in end-to-end EDA, predictive modeling (82% accuracy), and KPI tracking across HR and financial domains. Adept at translating data into clear, stakeholder-ready narratives.
Vinoba Bhave University, Hazaribagh
B.A. (Bachelor Of Arts) · Arts
August 1, 2021 – June 30, 2024
Family Retail Business
Store Operations Manager
June 1, 2021 – November 1, 2025
Jharkhand, India
Loan Approval Prediction Analysis
June 1, 2026 – Present
Analyzed a dataset of 1,500+ loan applicants to identify key approval drivers including credit history, income level, and employment status. Performed end-to-end EDA handled missing values, encoded categorical variables, and visualized feature distributions using Seaborn and Matplotlib. Built a logistic regression classification model achieving 82% prediction accuracy, reducing false approval rate by ~18% and improving risk segmentation. Identified that applicants with a positive credit history had 3x higher approval rates, providing actionable risk-based insights applicable to financial lending use cases.
View ProjectHR Attrition Dashboard
June 1, 2026 – Present
Developed an end-to-end HR analytics dashboard in Power BI analyzing attrition patterns across 1,400+ employee records. Tracked and visualized critical KPIs: attrition rate (16.2%), average tenure (7.1 years), department-wise turnover, and salary band distribution. Revealed that Sales department employees had 25% higher attrition, and staff earning below $3K/month were 2x more likely to leave, enabling targeted retention strategies. Implemented dynamic slicers by department, age group, and job role enabling HR managers to perform self-service retention analysis with no SQL required.
View ProjectData Analyst & Business Analyst Certification
NARESH I Technologies
June 1, 2026 – Present
Python Bootcamp Certificate
CodeWithHarry
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's background includes managing a family retail business, which often fosters a strong sense of ownership, resourcefulness, and practical problem-solving. The personal projects in data analysis (Loan Approval Prediction, HR Attrition Dashboard) indicate a self-driven individual passionate about applying analytical skills to diverse business problems. This blend of practical business experience and self-initiated technical learning suggests a candidate who could adapt well to dynamic environments and contribute proactively to data-driven initiatives. The breadth of skills (Python, SQL, Power BI, Excel) and project diversity align well with a data analyst role requiring versatility.
Soft Skills & Operational Fit
The candidate's experience as a Store Operations Manager highlights strong leadership, decision-making, and pressure-management skills. The ability to independently handle business operations, customer escalations, and high-volume sales periods suggests a proactive and resilient work attitude. The focus on improving record-keeping accuracy and identifying fast-moving products through sales analysis demonstrates an operational mindset geared towards efficiency and data-driven improvements.