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AP

Anand Paswan

Entry-level Data Analyst · SQL · Power BI · Excel · Python

New Delhi, Delhi, India

@anand_paswan

0 followers

🎓 Bachelor of Arts at University of Delhi · Graduating 2026

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About

Entry-level Data Analyst with hands-on project experience in SQL, Excel, Power BI, and Python. Skilled in data cleaning, exploratory data analysis, KPI reporting, and dashboard design, with end-to-end projects analyzing customer and sales data to generate business insights.

Education

Skills

<3 months <3 months Just getting started - under three months. This is also what shows when a level has not been set.
SQL DAX NumPy Python Pandas Seaborn Matplotlib If Functions Data Analysis Data Cleaning Data Modeling KPI reporting Microsoft Excel Data Engineering Business Insight Data Visualization Dashboard Development Conditional Formatting Exploratory Data Analysis

Tools / apps / platforms

<3 months <3 months Just getting started - under three months. This is also what shows when a level has not been set.
MySQL VS Code Power Query Microsoft Excel Jupyter Notebook Microsoft Power BI

Projects

  • Coffee Sales Performance Analysis and Interactive Dashboard
    Microsoft Excel, Pivot Tables

    Created an interactive Excel dashboard with Pivot Tables, KPIs and slicers, tracking 698,812.33 in total sales across 149,116 orders. Compared performance across product categories and store locations, and analyzed monthly trends from January to June.

  • Customer Behaviour Analysis and Power BI Dashboard
    Power BI, SQL, Excel

    Built an interactive Power BI dashboard analyzing 3,961 customers and 301.88K in total sales, using KPIs and slicers for dynamic filtering. Compared sales across product categories, segmented purchases by age group, and analyzed seasonal shopping trends and payment preferences.

Courses & certifications

  • Power BI for Beginners Certification · Simplilearn
  • Data Science Certification · SkillCure Academy

🏆 Achievements & awards

  • Built 2 end-to-end dashboards

    Built 2 end-to-end dashboards (Power BI and Excel), taking raw data through cleaning, analysis and visualization to final business insights.

  • Identified 104% rise in monthly sales

    Identified a 104% rise in monthly sales from January to June and the top-performing category and customer segment, translating raw data into business insights.

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