Data Analyst with 1+ years in Power BI & SQL, specializing in dashboard development and data modelin
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Data Analyst with hands-on experience in Power BI, SQL, Excel and Python, specializing in dashboard development, ETL processes, data modeling, DAX, and performance optimization to deliver actionable business insights and support data-driven decision-making.
JNTUA College of Engineering Pulivendula
B. Tech · Mechanical Engineering
N/A – June 30, 2023
Consumer Goods Insights
July 1, 2025 – June 1, 2026
Executed ad hoc SQL queries using joins, aggregations, filters, CTEs and Windows Functions to extract and analyze consumer goods data, delivering actionable insights in CSV format for cross-functional teams. Designed and implemented stored procedures, reusable SQL views, and optimized joins, improving query performance and enabling faster access to frequently used datasets. Engineered interactive Power BI dashboards from structured CSV datasets, leveraging visual elements like maps, column, bar, and doughnut charts to reveal performance trends and enhance stakeholder decision-making
Business Insights 360 Dashboard
June 1, 2025 – June 1, 2026
Developed a Power BI dashboard pulling from disparate sources to track global sales trends, enabling the sales team to meet individual quotas by 15% due to more actionable data. Constructed an efficient data model and compelling visualisations in Power BI, and optimised report performance using DAX Studio, achieving a 5% improvement in processing speed. Delivered a strategic sales dashboard that empowered AtliQ Hardware to monitor departmental performance, contributing to a projected 10% increase in revenue and a 20% reduction in data management costs.
Excel Data Analytics
May 1, 2025 – June 1, 2026
Built sophisticated reports on net sales by customer, market performance vs. targets, and regional sales distribution, driving data-backed business strategies. Produced a comprehensive profit & loss statement for AtliQ Hardware (FY 2022), leveraging advanced Excel functionalities such as PivotTables and DAX to deliver in-depth analysis of revenue and expense components. Streamlined data cleaning processes through Power Query automation, saving approximately 4 hours of repetitive manual effort. Standardised data input procedures across three departments, leading to a 30% decrease in data discrepancies and a subsequent improvement in the accuracy of financial reports utilised by senior management.
View ProjectGet Job Ready: Power BI Data Analytics for All Levels 3.0
CodeBasics
June 1, 2026 – Present
SQL Beginner to Advanced for Data Professionals
CodeBasics
June 1, 2026 – Present
Excel: Power of Business Intelligence
CodeBasics
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a strong alignment with the target role of Data Analyst, covering key areas like data visualization, SQL querying, and Excel-based analysis. The diversity of projects (sales, financial, consumer goods) indicates adaptability and a broad interest in applying data analytics across different business domains. The self-initiated certifications further highlight a proactive learning attitude, which is a positive cultural fit for roles requiring continuous skill development.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to translate technical work into business impact (e.g., 'driving data-backed business strategies', 'enabling the sales team to meet individual quotas by 15%'). The streamlining of data cleaning processes and standardization of data input procedures suggest an operational mindset focused on efficiency and accuracy. The candidate appears to be a self-starter, evidenced by the certifications and project work completed without formal employment experience.