Data Analyst with 3+ years in Business Analytics & Retail Operations
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
MBA Business Analytics candidate (2026) with 2+ years of experience in retail data operations and analytics internship. Skilled in Power BI (DAX, Power Query), SQL, and Python with hands-on project experience in sales dashboards and fraud detection. Seeking a Data Analyst role to deliver actionable insights.
P.B. Siddhartha College of Arts & Science
MBA · Business Analytics
August 1, 2024 – June 30, 2026
Andhra Loyola College, Krishna University
BBA · Retail Operations
August 1, 2021 – June 30, 2024
EDUBOT Software Services
Business Analytics Intern
May 1, 2025 – June 1, 2025
India
Retail Sales Performance Dashboard
July 1, 2025 – Present
Designed end-to-end retail analytics dashboard tracking sales, profit, pricing, and stock across multiple store locations with real-time refresh. Built DAX measures: Profit %, AOV, MoM Growth, Seasonality Trends, and Category-wise Performance for executive reporting. Identified top/bottom 10 SKUs by revenue enabling data-driven product placement, markdown decisions, and reorder planning. Integrated Power Query transformations to clean and merge multi-source data, reducing data prep time by 60%.
Insurance Fraudulent Claims Detection
July 1, 2025 – Present
Built ML classification model achieving 94% accuracy to detect fraudulent insurance claims on imbalanced dataset. Outperformed Logistic Regression, Decision Tree, and Random Forest benchmarks through feature engineering and tuning. Conducted EDA, preprocessing, and model evaluation using confusion matrix, precision-recall, and ROC-AUC metrics.
Microsoft Power BI
Infosys Springboard
June 1, 2026 – Present
Advanced Excel
Infosys Springboard
February 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from retail sales performance to insurance fraud detection, indicates a broad interest in applying data analytics across different domains. Their academic background in Business Analytics and Retail Operations, combined with an internship in Business Analytics, shows a clear alignment with the target role. The skills listed (Power BI, Python, SQL, Excel, ML) are highly relevant to a Data Analyst position. The candidate appears to be a good cultural fit for a data-driven organization that values continuous learning and practical application of analytical skills.
Soft Skills & Operational Fit
The candidate demonstrates a proactive approach to problem-solving through data analysis and automation. Their project work indicates an ability to translate business requirements into analytical solutions. The experience in retail operations suggests an understanding of business context, which is valuable for a data analyst role. However, without specific psychometric or English test results, a comprehensive assessment of soft skills like communication clarity, logical reasoning, stress handling, and team collaboration is limited.