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Data Analyst with 2+ years in SQL reporting & Excel.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Entry-level Data Analyst candidate with practical exposure to SQL reporting, ERP data validation, Excel-based reports, and database-backed project work. Comfortable collecting, checking, cleaning, and validating data, preparing simple MIS reports, and supporting business teams with accurate report outputs. Interested in building a career in data analysis, reporting, dashboards, and business insights.
B.N.N. College, Thane
Bachelor of Mass Media
N/A – April 1, 2026
Maharashtra State Board
Higher Secondary Certificate
N/A – February 1, 2016
Textile Management System
SQL / Reporting Exposure
December 1, 2024 – Present
India
School Management System
SQL / Reporting Exposure
March 1, 2024 – December 1, 2024
India
Hospital Management System
June 24, 2026 – Present
Patient registration, doctor scheduling, appointment booking, billing, and invoice calculation.
Library Management System
June 24, 2026 – Present
Book issue/return workflow, fine calculation, availability reports, and member borrowing history.
Employee Payroll Management System
June 24, 2026 – Present
Salary calculation, PF/ESI deductions, payslip generation, attendance summaries, and leave balance reports.
Cultural Fit Analysis
The candidate's academic projects and practical experience in different management systems (Library, Hospital, Employee Payroll, Textile, School) demonstrate adaptability and a willingness to work across varied business contexts. Their stated preference for entry-level data/reporting roles aligns well with organizations looking for foundational data analysis skills. The breadth of exposure, even if limited in depth, suggests a curious and learning-oriented individual.
Soft Skills & Operational Fit
The candidate demonstrates a methodical approach to data validation and reporting, indicating attention to detail and a focus on accuracy. Their experience in identifying data mismatches and supporting report logic improvements suggests problem-solving skills and a proactive attitude. The academic projects, while basic, show an understanding of system workflows.