Help & Supportcareers@gravityer.com
Data Analyst with less than a year in Data Analytics & Business Intelligence
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 Analyst with expertise in SQL, Python, Power BI, Databricks, and Business Intelligence. Experienced in transforming complex datasets into actionable insights through dashboard development, KPI reporting, customer analytics, donor analytics, and business performance monitoring. Skilled in data cleaning, data modeling, visualization, and automation, with proven success in reducing manual reporting effort by 40%, improving SQL query performance by 25%, and supporting strategic decision-making through data-driven solutions.
Vaagdevi College of Engineering
Master of Technology (M. Tech) · Power Electronics
N/A – Present
Vivekananda Institute of Technology and Science
Bachelor of Technology (B. Tech) · Electrical & Electronics Engineering
N/A – Present
SAFA Educational & Welfare Trust
Data Analyst
March 1, 2026 – Present
Hyderābād, Telangana, India
SD Hub Qutub Shahi
Data Analyst & Data Scientist Intern
September 1, 2025 – February 1, 2026
Hyderābād, Telangana, India
Swiggy LLM Analytics Bot
June 17, 2026 – Present
Developed an AI-powered analytics assistant enabling natural language querying and automated insight generation. Integrated SQL-based data retrieval with intelligent reporting workflows. Improved data retrieval efficiency by 30-40%. Reduced manual reporting effort by 50–60%. Enabled self-service analytics and faster business decision-making.
Swiggy Business Performance Analytics
June 17, 2026 – Present
Analyzed large-scale order and revenue datasets using SQL and Databricks. Built KPI dashboards tracking Total Revenue, Orders, Growth Trends, and City Performance. Identified top-performing cities contributing nearly 65% of overall revenue. Improved reporting accuracy through data cleansing and transformation activities.
Spotify User Segmentation & Customer Analytics
June 17, 2026 – Present
Processed and analyzed 500M+ user interaction records. Performed exploratory data analysis and feature engineering. Developed customer segmentation models using K-Means and Gaussian Mixture Models. Achieved approximately 90% segmentation accuracy. Identified high-risk customer groups and forecasted premium subscription growth opportunities. Reduced model evaluation time by 35% through automated analytical workflows.
Donor Analytics & Fundraising Dashboard
June 17, 2026 – Present
Built an interactive Power BI dashboard tracking donor retention, churn, revenue growth, and fundraising KPIs. Developed DAX measures for Retention %, Churn %, Donation Growth %, and Year-over-Year Analysis. Designed KPI scorecards and drill-through reports for Total Donors, Revenue, Donations, and Representative Performance. Enabled data-driven fundraising decisions through automated reporting and real-time insights.
Data Science & Generative AI
SD Hub Qutub Shahi
January 1, 2026 – Present
Data Analytics
SD Hub Qutub Shahi
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from business performance analytics for Swiggy to donor analytics for a trust, indicates adaptability and a broad interest in applying data analysis across different domains. Their experience with both established and emerging technologies (like Generative AI) suggests a willingness to learn and innovate. The roles held, even as an intern, are directly aligned with a Data Analyst position, showing clear career focus.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through their project work, particularly in identifying top-performing cities and high-risk customer groups. Their ability to collaborate with stakeholders to translate business requirements into analytical solutions suggests good communication and teamwork potential. The focus on reducing manual effort and improving efficiency aligns well with operational excellence.