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Associate Data Analyst with less than a year in SQL, Python, and Power BI with experience in retail
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Analyst with hands-on experience in SQL, Python, Power BI, and Excel, focused on turning raw data into clear, actionable business insights. Skilled in exploratory data analysis, KPI tracking, customer segmentation, and building dashboards that support data-driven decisions. Comfortable working with large datasets and communicating findings to both technical and non-technical stakeholders.
Vasireddy Venkatadri Institute of Technology
B.Tech (CSE) · Computer Science Engineering
August 1, 2022 – June 30, 2026
Oxford Junior College
Intermediate (MPC)
June 1, 2020 – May 31, 2022
Sri Gowtham E.M High School
Secondary Education (SSC)
June 1, 2019 – May 31, 2020
Dynamic Retail Dashboard
January 1, 2026 – Present
Analyzed 51,290 orders and 178,312 units using structured Excel datasets. Analyzed sales data and identified 11.61% overall profitability. Diagnosed Furniture as the lowest-margin category (6.9%) by identifying 16.8% average discounting. Segmented customers into Consumer (51.7%), Corporate (30.1%), and Home Office (18.2%).
View ProjectRetailmart Analytics
January 1, 2026 – Present
Built 25+ SQL views and 10 materialized views to enable fast, real-time analytics across multiple business domains. Developed 32 JSON export functions to deliver API-ready data for seamless frontend integration. Designed a 7-tab interactive dashboard for visualizing KPIs, trends, and business insights.
View ProjectMovie Rental Analysis
January 1, 2026 – Present
Consolidated and analyzed data from 1,000+ films, 599 customers, and 2 stores. Built interactive Power BI dashboards to analyze genres, retention, and revenue trends. Captured $67K total revenue by analyzing 16,000+ rentals, optimizing the average revenue per film $4.18. Reduced dashboard development time by 25% through optimized reporting design.
View ProjectDatabase Solutions
Wipro TalentNext
June 1, 2026 – Present
Python for Data Visualization
Udemy
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a proactive approach to learning and applying data analysis skills across different domains (retail, movie rentals). The use of various tools (Excel, SQL, Power BI, Python) shows versatility. The personal nature of all projects suggests self-motivation and initiative, which are positive indicators for cultural fit in a learning-oriented environment. The target role of 'Associate Data Analyst' aligns well with the demonstrated project experience and skills.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to translate raw data into business insights and communicate findings, suggesting good analytical and problem-solving skills. The focus on optimizing processes (e.g., reducing dashboard development time) points to an operational mindset. However, without direct work experience or psychometric test results, it's difficult to fully assess stress handling, team collaboration, or communication clarity in a professional setting.