Data Analyst with less than a year in SQL, Python, and Power BI.
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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 INR 4.5L (2.7%) 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
January 1, 2022 – January 1, 2026
GrowAI Edtech
Data Analytics Intern
May 1, 2025 – October 1, 2025
India
A/B Testing & Experiment Analysis
January 1, 2026 – Present
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
January 1, 2026 – Present
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 ProjectRevenue Analytics & Leakage Analysis (E-commerce)
January 1, 2026 – Present
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 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 diverse projects (e-commerce revenue, A/B testing, customer retention) and internship experience demonstrate a broad interest in applying data analytics across different business scenarios. The focus on delivering tangible business impact (e.g., identifying revenue leakage, improving conversion rates, proposing retention strategies) aligns well with a results-driven culture. The certifications from GrowAI, Deloitte, and Tata indicate a proactive approach to learning and professional development, suggesting a good cultural fit for continuous improvement.
Soft Skills & Operational Fit
The candidate's project descriptions and internship experience highlight a problem-solving mindset, attention to detail in data cleaning, and collaboration with stakeholders. The ability to translate data into actionable business decisions indicates a strong operational fit for a Data Analyst role. The structured approach to projects (e.g., identifying leakage, validating A/B tests) suggests a methodical and results-oriented work attitude.