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Data Analyst with project experience in Data Analysis & Business analysis
Detail-oriented Data Analyst with a strong foundation in data analysis, data validation, and structured data processing. Experienced through internships and academic projects in handling large datasets, identifying patterns, detecting discrepancies, and ensuring data accuracy for reporting and decision-making. Proficient in Excel, SQL, and Power BI for data analysis, dashboard creation, and performance reporting. Skilled in transforming raw data into actionable insights, supporting business requirements, and communicating findings effectively to stakeholders. Strong organizational and analytical skills with the ability to manage multiple tasks and deliver high-quality analytical outputs within deadlines. Seeking an entry-level Data Analyst / Business Analyst role to support data-driven decision-making and business process improvement.
Andhra University, Visakhapatnam
B.Tech · Computer Science of Engineering
October 19, 2021 – May 23, 2025
Cultural Fit Analysis
The candidate's resume indicates a focus on data analysis and business intelligence, aligning well with a Data Analyst role. The projects and internships demonstrate practical application of skills in diverse scenarios (restaurant menu generation, banking system, financial reconciliation, sales analysis, operational audits). The breadth of technical skills (Excel, Power BI, SQL, Python, ML basics) and certifications suggests a proactive learning attitude. However, the experience level is entry-level, which might require mentorship and integration into a senior team.
Soft Skills & Operational Fit
The candidate demonstrates strong organizational and analytical skills, with the ability to manage multiple tasks and deliver high-quality analytical outputs within deadlines. The professional summary highlights a detail-oriented approach and effective communication skills for conveying findings to stakeholders. Core competencies also list stakeholder communication, task prioritization, and an organized work approach, which are crucial for operational fit in a data analyst role.