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Software Engineer with 2+ years in Data Analysis & Power BI
Results-driven Computer Science and Engineering graduate with hands-on experience in SQL, Python, Power BI, and Excel, specializing in data analysis, automation, dashboard reporting, and problem solving. Proven ability to optimize workflows, reduce manual effort, and deliver-insights that support business decisions. Eager to contribute to client projects, collaborating with cross-functional teams, and continuously learning new technologies. Possessing good knowledge in Pivot Tables, Power Query, Power Pivot, VLOOKUP/XLOOKUP, INDEX-MATCH, advanced formulas for Data Validation and Analysis, Dashboard creation with Dynamic Charts, Slicers, and KPIs. Experienced in writing Optimized SQL Queries and good knowledge in Views and Stored Procedures. Strong in DAX Measures, Calculated Columns, and Time Intelligence. Developed interactive dashboards and reports for business users.
Vel Tech Rangarajan DR. Sagunthala R & D Institute of Science and Technology
B. Tech (CSE) · Computer Science and Engineering
August 1, 2020 – June 30, 2024
Blink-it Grocery Analysis Dashboard
January 1, 2024 – June 1, 2026
Developed an interactive Blink-it Grocery Analysis Dashboard using Power BI to analyze sales performance, product categories, customer ratings, and outlet-wise trends. Collected and analyzed grocery sales data from multiple sources. Performed data cleaning, transformation, and validation using Power Query and Excel. Created interactive dashboards and visualizations in Power BI. Analyzed key performance indicators (KPIs) such as total sales, average sales, item ratings, and outlet performance. Developed charts, slicers, and filters to provide actionable business insights. Generated reports to support data-driven decision-making and identify sales trends. Improved data accuracy and reporting efficiency through effective data modeling. Tools & Technologies: Power BI, Excel, Power Query, DAX, Data Modeling, Data Visualization, & SQL Server.
Cultural Fit Analysis
The candidate's academic project demonstrates an ability to work on a complete data analysis lifecycle, from data collection to visualization and reporting. The stated career objective emphasizes collaboration and continuous learning, which are positive indicators for cultural fit. However, the lack of diverse project types or team-based experiences beyond a single academic project limits the depth of this analysis. The candidate's experience is heavily focused on data analysis and visualization, which aligns well with roles requiring these specific skills, but may require broader exposure for a general 'Software Engineer' role.
Soft Skills & Operational Fit
The candidate's resume indicates a results-driven individual eager to contribute to client projects and collaborate with cross-functional teams. The focus on optimizing workflows and delivering insights suggests a problem-solving and business-oriented mindset. However, without specific psychometric or behavioral assessment data, a detailed evaluation of soft skills and operational fit is limited.