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Data Analyst with less than a year in data visualization, statistical analysis & dashboard developme
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Analyst and Statistics postgraduate skilled in Python, SQL, Power BI, Excel, and data visualization. Experienced in dashboard development, data cleaning, statistical analysis, and business reporting with strong analytical and problem-solving abilities.
Dayanand College of Arts and Science
B.Sc. Statistics · Statistics
N/A – June 30, 2023
Punyashlok Ahilyadevi Holkar Solapur University
M.Sc. Statistics · Statistics
N/A – June 30, 2025
Kuchan Junior College
HSC
N/A – May 31, 2020
Vidhya Niketan High School
SSC
N/A – May 31, 2018
Unknown
Data Analyst Intern
December 1, 2025 – Present
India
Employee Salary Dashboard
December 1, 2025 – June 1, 2026
Created an interactive dashboard for payroll analysis, salary distribution, bonuses, and employee performance using Pivot Tables, charts, and formulas.
Financial Data Dashboard
December 1, 2025 – June 1, 2026
Developed a Power BI dashboard analyzing 5,000+ financial records with KPI indicators, revenue tracking, expense monitoring, and dynamic reports.
MS-CIT Certification
Unknown
June 1, 2026 – Present
Python Programming Basics
Unknown
June 1, 2026 – Present
Internship in Data Analysis
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's profile shows a focused interest in data analysis and business intelligence, which aligns well with roles requiring data-driven decision-making. The personal projects demonstrate initiative and a proactive approach to skill development. The academic pursuit of an M.Sc. in Statistics while gaining internship experience indicates a commitment to continuous learning and professional growth, which are positive indicators for cultural fit in a dynamic environment.
Soft Skills & Operational Fit
The candidate lists communication, teamwork, and problem-solving as soft skills. The project descriptions and internship experience suggest an ability to apply these in practical data analysis scenarios, particularly in dashboard development and reporting. The candidate's academic background in Statistics indicates a methodical and analytical approach to problem-solving.