Power BI Developer with 1+ years in data visualization & analysis
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Assessing your cultural and operational fit
Detail - oriented data analyst with a strong foundation in data manipulation and visualization using excel ,power bi, and sql proficient in tranforming complex datasets into actionable insights and passionate about leveraging data to driven business decisions
Krishna University
Master of Computer Science Appilcation · Computer Science
August 1, 2023 – April 1, 2025
Sir C.R.Reddy College for Women
Bachelor of Science
June 1, 2019 – November 1, 2021
Bank customer churn analysis
January 1, 2026 – June 1, 2026
Developed interactive Power BI dashboard analyzing bank customer churn records to identify across demographics and financial metrics. Created key DAX measures and visualizations like donut charts, bar charts. Implemented bookmarks, themes, and Month-over-Month trend analysis for dynamic navigation, supporting proactive customer retention decisions in banking scenarios.
Sales Dashboard with Excel
October 1, 2025 – June 1, 2026
Created a sales in excel that measure to calculate year - over - year growth, enabling real - time insight into sales trends. Implemented end to end report generation which helped me generated actionable insights.
Password Manager With Multi-Factor Authentication
November 1, 2024 – June 1, 2026
Multi -Factor authentication MFA enhances the security of password managers by requiring users to provide multiple forms of verification before granting access.
Cultural Fit Analysis
The candidate's projects are primarily academic and focused on data analysis and business intelligence, which aligns with the target role of Power BI Developer. However, the diversity of projects is limited, and there is no information regarding professional experience or team collaboration, making a comprehensive cultural fit assessment difficult. The 'Password Manager' project is an outlier from the BI focus.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a detail-oriented approach and a passion for leveraging data for business decisions. The academic nature of projects suggests a foundational understanding, but real-world operational experience and collaboration skills are not evident from the provided data.