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Data Analyst with less than a year in Data Analysis and Financial Reporting, skilled in Power BI and
Detail-oriented and analytical B.Com graduate with knowledge of data analysis, financial reporting, Excel, Power BI, and business insights. Skilled at interpreting data, preparing dashboards, and identifying trends to support decision-making. Strong communication, problem-solving, and organizational abilities with a keen interest in Data Analyst and Financial Analyst roles. To begin my professional career in a Data Analyst or Financial Analyst role where I can apply my analytical skills, financial knowledge, and technical abilities to contribute to business growth while continuously learning and developing professionally.
Smt. Kashibai Navale College of Commerce
Bachelor of Commerce · Commerce
N/A – June 30, 2025
Brihan Maharashtra College of Commerce (BMCC)
Higher Secondary Education
N/A – Present
Financial Data Analysis Project
June 1, 2026 – Present
Worked on financial datasets using Excel for reporting and analysis. Performed calculations, trend analysis, and data organization. Prepared summary reports and visual insights for business understanding.
Sales Dashboard Analysis
June 1, 2026 – Present
Created interactive dashboards in Power BI to analyze sales performance and business trends. Used charts, filters, and KPIs to improve data visualization and reporting. Analyzed monthly sales trends and customer insights for better decision-making.
Data Analytics Course
Full Stack Guru
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate an interest in data analysis and financial reporting, which aligns with the target role of Data Analyst. The listed skills cover relevant areas like Power BI, Excel, and basic SQL/Python. The academic background in Commerce further supports a fit for roles involving business data. However, the lack of professional experience and diverse project types limits a deeper assessment of cultural fit beyond basic role alignment.
Soft Skills & Operational Fit
The candidate highlights attention to detail, problem-solving, quick learning, team collaboration, time management, and adaptability as strengths. These are valuable for operational fit, especially in data-intensive roles requiring accuracy and teamwork. However, these are self-proclaimed and not validated by assessments.