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Data Analyst with less than a year in Data Analysis, SQL, Python, and Power BI.
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Entry-level Data Analyst skilled in Python, SQL, Power BI, and Excel, with hands-on experience in data analysis, dashboarding, and machine learning projects. Completed a Data Analyst internship delivering automated reports and interactive dashboards, with project work in churn analysis, healthcare analytics, and fraud detection.
SNS College of Engineering
B.Tech · Artificial Intelligence and Data Science
August 1, 2022 – June 30, 2026
Syncner
Data Analyst Intern
July 1, 2025 – December 1, 2025
India
PayGuard AI Real-Time Fraud Intelligence System
June 22, 2026 – Present
• Built a ML-based fraud detection system analyzing 1.27M+ transactions with AI-driven risk scoring and anomaly detection. • Built a 3-page fraud intelligence dashboard for real-time monitoring, fraud hot-spot analysis, and investigation workflows. • Implemented transaction risk classification to prioritize high-risk activities and support faster fraud investigation decisions.
View ProjectCustomer Retention and Revenue Optimization System
June 22, 2026 – Present
• Built a customer retention system identifying 39M INR revenue at risk and enabling targeted marketing interventions. • Developed a prioritization model and dashboard to identify high-risk, high-value customers and optimize retention strategies.
View ProjectICU Risk Prediction
June 22, 2026 – Present
• Built an end-to-end ICU risk prediction solution using MIMIC-IV data to identify high-risk patients and support operational risk assessment and hospital resource allocation. • Developed and evaluated predictive models to minimize missed critical cases and improve risk-based clinical decision-making. • Created a Power BI dashboard to monitor ICU risk patterns, patient demographics, and hospital stay trends.
View ProjectNasscom Digital Application Fundamentals (STEM)
Nasscom
March 1, 2026 – Present
Oracle Cloud Infrastructure 2025 AI Foundations Associate
Oracle
October 1, 2025 – Present
Hacker Rank SQL (Basic)
HackerRank
October 1, 2025 – Present
Google Data Analytics Professional Certificate
June 1, 2025 – Present
Cultural Fit Analysis
The candidate's project diversity, including fraud detection, customer retention, and healthcare risk prediction, demonstrates a broad interest in applying data analysis to various business challenges. The listed skills cover a wide range of tools and techniques relevant to a Data Analyst role, indicating a willingness to learn and adapt. The internship experience and personal projects show initiative and a drive to gain practical experience, which aligns well with a proactive and growth-oriented culture. The candidate is still pursuing a B.Tech degree, which suggests a strong academic foundation and a continuous learning mindset.
Soft Skills & Operational Fit
The candidate's project descriptions highlight 'Team Collaboration' as a skill, and the internship experience involves working on multiple projects, suggesting an ability to work in a structured environment. The focus on building end-to-end solutions and automating reports indicates a proactive and problem-solving attitude. The variety of projects (fraud, customer retention, healthcare) suggests adaptability and a broad interest in applying data analysis to different domains.