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Data Analyst | SQL · Python · Power BI · Excel | Open to collab & feedback | Open to entry-level roles
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
RFM_Analysis
June 7, 2026 – Present
Customer segmentation using BigQuery SQL (CTEs, NTILE, UNION ALL) + Power BI dashboard — 8 behavioral groups from Champions to Lost/Inactive
View ProjectZepto_Sales_Analysis
May 14, 2026 – Present
Grocery retail analysis using PostgreSQL (8 business SQL queries) + Power BI dashboard — 15K+ products, $122M revenue
View ProjectCoffee_Sales_Analysis
April 20, 2026 – Present
Excel dashboard analyzing coffee sales across regions, roast types and loyalty customers — pivot tables, slicers and trend analysis
View ProjectFlipkart_Sales
June 24, 2025 – Present
E-commerce analysis of 113K+ orders and $136M revenue — Excel data cleaning + 4-page interactive Power BI dashboard
View ProjectLAPD_Crime_Analysis
June 23, 2025 – Present
Crime pattern analysis on LAPD dataset using Python (Pandas, Seaborn, Matplotlib) + Power BI dashboard
View ProjectSuperStore_Sales_Project
April 17, 2025 – Present
Retail sales analysis using Excel/Power BI — regional performance, profit margins and product category insights
View ProjectCultural Fit Analysis
The candidate's projects demonstrate a proactive approach to learning and applying data analysis skills. The diversity of projects (sales, e-commerce, crime, customer segmentation) indicates a broad interest in different data domains. However, all projects are personal, and there is no information on collaborative work or experience in a professional team setting, which limits the assessment of cultural fit for a senior role.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to structure and present analytical findings, which suggests good communication and problem-solving skills. However, without specific assessment data on soft skills or operational fit, a definitive evaluation cannot be made.