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Data Analyst with 1+ years in SQL, Python, and Power BI for data-driven decision-making.
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Assessing your cultural and operational fit
Data Analyst with a Computer Science background and hands-on experience in SQL, Python, and Power BI, built through internships and real business projects. I don't just build dashboards. I start with the business problem and work backwards into the data. Identified revenue leakage across 100K+ transactions, ran an A/B test delivering a 24% conversion lift, and analyzed customer retention through cohort analysis. The goal is always the same. Turn data into a decision the business can act on.
VEMU Institute of Technology (JNTUA)
B.Tech · Computer Science & Engineering
August 1, 2022 – June 30, 2026
GrowAI Edtech
Data Analytics Intern
May 1, 2025 – October 1, 2025
India
Revenue Analytics & Leakage Analysis (E-commerce)
November 1, 2025 – June 1, 2026
Identified INR 4.5L (2.7%) revenue leakage by analyzing 100K+ transactions using SQL and Python, uncovering failed payment patterns impacting conversion and overall business performance. Performed funnel analysis to identify transaction drop-off patterns impacting payment completion rates. Discovered credit card payments contributed 75% of revenue loss, linking payment behavior to financial impact. Built Power BI dashboard using DAX and data modeling to track KPIs and revenue trends for performance monitoring and decision-making.
View ProjectA/B Testing & Experiment Analysis
November 1, 2025 – June 1, 2026
Improved conversion rate from 9.9% to 12.3% (+24% uplift) by designing and analyzing an A/B test on 20K users. Validated results using a two-proportion Z-test (p < 0.05), ensuring statistical significance. Estimated INR 32K incremental revenue uplift from optimized variant. Recommended Variant B based on statistically significant conversion improvement.
View ProjectCustomer Retention & Cohort Analysis
November 1, 2025 – June 1, 2026
Analyzed 100K+ users to identify <1% retention beyond the first month, highlighting critical churn issue. Built cohort retention matrix to track repeat purchase behavior across time periods and customer segments. Identified sharp drop-off after first purchase, indicating high dependency on new customer acquisition. Proposed data-driven retention strategies targeting early churn to improve repeat purchases and customer lifetime value.
View ProjectGrowAI Data Analytics Course Certification
GrowAI
June 1, 2026 – Present
Deloitte Australia Data Analytics Job Simulation
Forage
June 1, 2026 – Present
Tata Data Visualisation: Empowering Business with Effective Insights
Forage
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity (e-commerce revenue, A/B testing, customer retention) and internship experience align well with a dynamic data-driven environment. Their proactive approach to learning, evidenced by multiple certifications and personal projects, indicates a strong desire for continuous improvement and adaptability. The focus on turning data into actionable decisions suggests a business-oriented mindset, which is crucial for cultural fit in a results-driven organization.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills by identifying business problems and working backward with data. Their collaboration with stakeholders for requirements gathering indicates good teamwork and communication. The ability to automate reporting and optimize queries suggests an efficiency-driven mindset. The project descriptions highlight a results-oriented approach, focusing on tangible business outcomes.