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Data Analyst with less than a year in SQL & Power BI
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Assessing your cultural and operational fit
B.Tech graduate skilled in data cleaning, SQL, and Power BI. Proven at transforming raw data into actionable insights through logical problem-solving, documentation, and cross-functional stakeholder collaboration.
BVCOE, NEW DELHI
B.Tech · Electronics and Communication Engineering, Minor in AI/ML
August 1, 2021 – June 30, 2025
NIELIT, MINISTRY OF ELECTRONICS & IT
Technical Intern
January 1, 2025 – July 1, 2025
India
Vendor Performance Analysis
June 27, 2026 – Present
Aggregated and Analyzed 50,000+ transactional records to evaluate vendor performance, identifying revenue contribution, cost variance (±20%), and profit margins across 150+ vendors. Built automated calculations and visual reports to communicate key findings and recommendations, highlighting top vendors contributing ~65% of total sales. Reduced manual reporting effort by 10+ hours per cycle through end-to-end analytics automation.
View ProjectEducational Performance Data Pipeline
June 27, 2026 – Present
Processed and merged over 10,000 records into a unified PostgreSQL database using Node.js automation, guaranteeing data precision and consistency from various fragmented internal sources for in-depth analysis. Created interactive dashboards in Excel and Power BI to monitor performance trends and identify anomalies and optimized data workflows and automated verification processes, achieving a 40% reduction in manual reporting cycles. Worked with cross-functional teams to determine data needs and maintained thorough technical documentation of all analytical processes to ensure transparency.
View ProjectFinancial Fraud Detection & Pattern Analysis
June 27, 2026 – Present
Analyzed millions of financial transaction records using SQL to detect fraudulent activities. Created engaging Power BI dashboards to illustrate fraud trends, transaction flows, and anomaly patterns reduced false positives by ~30% compared to single-rule SQL detection. Documented analytical findings into actionable insights, demonstrating how combining multiple fraud indicators improves detection accuracy and reduces false positives.
View ProjectCultural Fit Analysis
The candidate's academic projects cover diverse domains like educational performance, financial fraud, and vendor analysis, indicating adaptability and a broad interest in applying data analysis skills. The internship experience aligns well with the target role of Data Analyst, showcasing practical application of skills in a professional setting. The minor in AI/ML suggests a forward-thinking mindset and a willingness to explore advanced analytical techniques, which could be a strong cultural fit for an innovative team.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving, communication, and documentation skills. Their experience in stakeholder collaboration and presenting data-driven recommendations indicates a good operational fit for roles requiring interaction with various teams and clear articulation of insights. The academic projects show initiative and a structured approach to data analysis challenges.