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Detail-oriented Data Analyst skilled in SQL, Python, Excel, and Power BI. Adept at analyzing complex datasets, building dashboards, and driving data-driven deci
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Flexible_Eg_Ssc_mock_test1
May 16, 2026 – Present
Flexible_Eg_Ssc_mock_test1 — GitHub repository
View Projectazure-retail-data-engineering-pipeline
February 12, 2026 – Present
End-to-end Azure Synapse data pipeline using Medallion Architecture (Bronze–Silver–Gold) with PySpark and SQL for retail revenue analytics.
View ProjectSales_Orders_Analysis_using_Python_-_MySQL
August 22, 2025 – August 22, 2025
Sales_Orders_Analysis_using_Python_-_MySQL — GitHub repository
View ProjectCoffee_shop_sales
August 3, 2025 – August 4, 2025
I built an interactive Excel-based dashboard to analyze retail sales data for a coffee shop chain. The goal was to extract actionable insights to improve business performance across product lines, store locations, and customer behavior.
View ProjectBlinkit_Sales_Analysis
July 18, 2025 – July 18, 2025
This project presents a comprehensive data analysis of Blinkit's sales data using Python for data exploration and Power BI for dynamic visualization.
View ProjectRestaurant_Dashboard
July 17, 2025 – July 18, 2025
This is an interactive Power BI dashboard project that analyzes restaurant-related data, including average delivery time, ratings, and cuisine pricing across various Indian cities and areas.
View ProjectNETFLIX_OVERVIEW
July 17, 2025 – July 17, 2025
This project is an interactive Power BI dashboard analyzing Netflix's content library. It showcases insights such as content trends over time, genre distribution, and key metrics for title type and ratings.
View ProjectVrinda_store_data_Excel_DA_project
May 1, 2025 – May 1, 2025
Vrinda_store_data_Excel_DA_project — GitHub repository
View Projectsolar-panel-defect-detection
April 29, 2025 – April 29, 2025
It offers an in-depth analysis of defective and non-defective solar panels across different parameters such as Time, Ipv, Vdc, and Vpv. It highlights critical insights to reduce defects in solar panels, enabling stakeholders to make data-driven decisions.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong interest in data analysis and data science, aligning well with a Data Scientist role. The diversity of projects (retail, sales, content, defect detection) suggests adaptability and a broad interest in applying data skills across different domains. However, the projects are primarily personal, and there is no information on collaborative work or team dynamics.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate a focus on analytical problem-solving and data presentation.