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Power BI Developer with less than a year in data visualization and analysis.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
To utilize my skills in Power BI and data visualization to deliver insightful reports and dashboards, contributing to data-driven decision-making and driving organizational success.
Jaya Engineering College
B.E - Computer Science · Computer Science
August 1, 2022 – June 30, 2026
Super Store Sales Analysis
June 27, 2026 – Present
Performed Super Store Sales Analysis to evaluate overall sales performance, profit trends, and customer purchasing behavior across different regions and categories. Used Power BI to build interactive dashboards for tracking KPIs and supporting data-driven decisions. • Collected and analyzed Super Store sales data using SQL. • Cleaned and transformed data using Power Query for accurate reporting. • Built data models with relationships and created DAX measures for Total Sales, Profit, Quantity, and Discount impact. • Developed interactive dashboards with slicers, charts, and KPIs for region-wise and category-wise analysis. • Analyzed sales and profit trends by product category, sub-category, and time period. • Identified top-performing and loss-making segments to support business insights. • Validated and refreshed datasets to maintain reporting accuracy.
Customer Churn Analysis
June 27, 2026 – Present
Performed Customer Churn Analysis to identify factors influencing customer attrition and improve retention strategies. Used Power BI to visualize churn patterns and key risk indicators. • Extracted and analyzed customer data using SQL. • Cleaned and transformed churn-related data using Power Query. • Built data models and created DAX measures such as Churn Rate, Retention Rate, and Active Customers. • Developed dashboards to track churn by demographics, subscription type, and tenure. • Designed clear visualizations to present churn insights effectively.
Cultural Fit Analysis
The candidate's academic projects demonstrate a foundational understanding of data analysis and visualization, which aligns with the target role. The projects show initiative in applying learned skills. However, the lack of professional experience or diverse project types limits the assessment of broader cultural fit and adaptability to different organizational contexts.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on structured data analysis tasks and deliver visual insights. However, without psychometric test results or interview data, it is difficult to assess soft skills like logical reasoning, work attitude, stress handling, or team collaboration.