Data Analyst with 1+ years in SQL, Power BI & Python
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Results-driven and detail-oriented Data Analyst with hands-on experience in SQL, Power BI, Python, Excel, and Microsoft Azure. Skilled in building efficient ETL pipelines, transforming complex datasets, and delivering actionable insights through interactive dashboards and reports. Strong ability to analyze large datasets, identify trends, and support data-driven decision-making. Experienced in data cleaning, data visualization, and statistical analysis to solve real-world business problems. Adept at collaborating with cross-functional teams, understanding business requirements, and translating them into analytical solutions. Currently working as a Data Analyst Intern, seeking to leverage analytical expertise and problem-solving skills to drive business growth and improve operational efficiency.
Maharashtra Institute of Technology
MCA
N/A – June 30, 2025
Dr. G. Y. Pathrikar College of CS and IT
BCS
N/A – June 30, 2023
Tech Surya
Data Analyst Intern
August 1, 2025 – Present
India
Unioteq Company
Intern
January 1, 2025 – June 1, 2025
India
PhonePe Transaction Analysis
June 18, 2026 – Present
Developed an interactive Power BI dashboard to analyze transaction data across users, states, and time. Performed data modeling by establishing relationships between Users, Transactions, and Calendar tables. Created KPI cards to track key metrics such as total transactions, transaction amount, and active users. Built visualizations including line charts, bar charts, donut charts, and maps to analyze trends and regional performance. Implemented DAX measures to calculate success rate, average transaction value, and user activity. Applied time-based analysis using a calendar table for monthly and yearly trends. Enabled Top N filtering to identify top-performing states based on transaction volume. Designed a clean and user-friendly dashboard layout for executive-level insights.
Hospital Management System Dashboard
June 18, 2026 – Present
Designed and developed an interactive dashboard to analyze hospital data including patients, doctors, and resources. Performed SQL-based data extraction, transformation, and multi-table integration. Analyzed revenue trends, patient demographics, and department performance. Created dynamic dashboards with slicers for real-time insights. Monitored hospital resource utilization (beds, MRI, ventilators) for operational efficiency. Implemented DAX calculations to track KPIs such as revenue, patient count, and average stay.
SQL Banking Project – Data Analysis
June 18, 2026 – Present
Performed end-to-end SQL analysis on banking datasets including customers, accounts, loans, and transactions. Developed complex queries using JOINs, subqueries, and CTEs for multi-table analysis. Applied window functions (DENSE_RANK) to identify top customers and loan distributions. Analyzed customer behavior, loan performance, and transaction trends. Generated insights such as high-value customers and unpaid loans.
Big Data Certification
Infosys Springboard
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, including financial and healthcare analytics, indicates a broad interest and adaptability. Their stated career interests align directly with the target role of Data Analyst and related fields like Business Intelligence. The academic background and internship experiences show a commitment to developing relevant skills. However, the experience is primarily academic and internship-based, which might require more structured mentorship in a professional setting.
Soft Skills & Operational Fit
The candidate demonstrates a results-driven and detail-oriented approach, as evidenced by their project descriptions. Their ability to collaborate with cross-functional teams and translate business requirements into analytical solutions suggests good operational fit. The focus on delivering actionable insights aligns well with typical data analyst responsibilities.