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anmolraj530/README.md

Hi 👋, I'm Anmol Raj

Data Analyst & MIS Executive | Power BI • SQL • Advanced Excel • Python • Tableau

Microsoft Learn — Power BI Data Analyst Associate  |  HackerRank SQL Advanced  |  Deloitte Australia Data Analytics Virtual Experience



👨‍💻 About Me

  • 🎯 Fresher Data Analyst & MIS Executive with hands-on, end-to-end BI project experience
  • 📊 Built a multi-page Power BI KPI Dashboard tracking 8 KPIs across 5,000+ retail records
  • 🗄️ Performed SQL-driven analysis on 50,000+ transaction rows using CTEs, Window Functions & Joins
  • 🐍 Python EDA using Pandas, NumPy & Matplotlib — uncovered a 35% Q4 revenue spike
  • 🏢 Completed Deloitte Australia Data Analytics Virtual Experience (Forage)
  • 📍 Open to relocation — Gurgaon / Delhi NCR / Noida / Bengaluru
  • 📫 Reach me at anmolraj530@gmail.com


🔗 Connect with Me

LinkedIn   YouTube   Portfolio



🛠️ Tech Stack

📊 BI & Visualization

Power BI Tableau DAX Power Query

🗄️ SQL & Databases

MySQL SQL Server

📁 Excel & Reporting

Excel Pivot Tables KPI Dashboards

🐍 Python & Analytics

Python Pandas NumPy Matplotlib

⚙️ Tools

Git Jupyter



🚀 Featured Projects

Power BI • DAX • Power Query • SQL • Star Schema

  • Built multi-page Power BI dashboard tracking 8 KPIs across 5,000+ retail records
  • Engineered 15+ DAX measures for dynamic KPI calculations
  • Applied star-schema data modeling for sub-second query performance
  • Resolved ~8% null values via Power Query ETL
  • ✅ Outcome: Reduced manual reporting time by ~3 hours/week

SQL • Python • Pandas • EDA • NumPy • Matplotlib

  • Queried 50,000+ transaction rows using CTEs, Window Functions & multi-table Joins
  • Identified top 3 product categories driving 60%+ of total revenue
  • Python EDA revealed a 35% Q4 revenue spike
  • ✅ Outcome: Delivered report with 4 prioritised business recommendations

🎧 Customer Support Operations KPI Dashboard (In Progress)

SQL • Advanced Excel • Tableau • MIS Reporting

  • Building end-to-end KPI tracker — resolution time, CSAT, first response time & ticket volume by shift
  • Workflow: SQL extraction → Excel pivot analysis → Tableau visualization
  • ✅ Goal: Surface operational efficiency gaps for business stakeholders


🏆 Certifications

Certification Issuer Status
Power BI Data Analyst Associate Microsoft Learn ✅ Completed — June 2026
SQL (Advanced) HackerRank ✅ Completed


📍 Open to relocation — Gurgaon / Delhi NCR / Noida / Bengaluru  |  Available Immediately

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  1. Fraud-Detection-in-E-commerce-Transactions Fraud-Detection-in-E-commerce-Transactions Public

    Theme: Detect suspicious transactions that could indicate fraud, fake accounts, or abuse.

  2. Comprehensive-Sales-Performance-Growth-Report-2014-2017- Comprehensive-Sales-Performance-Growth-Report-2014-2017- Public

    This project contains a Power BI dashboard that analyzes sales performance from 2014 to 2017 across product sub-categories, customer segments, and regions.

  3. Ecommerce-Sales-Analysis-SQL Ecommerce-Sales-Analysis-SQL Public

    SQL project analyzing e-commerce sales data to uncover product performance, customer behaviour, and regional trends. Tools: SQL, Excel, GitHub. Insights include top products, sales patterns, and av…

    1

  4. automated-data-cleaning-eda automated-data-cleaning-eda Public

    ✔ Detects missing data ✔ Cleans the dataset automatically ✔ Generates descriptive statistics ✔ Creates a correlation matrix ✔ Exports a cleaned CSV for further analysis Tools used: Python, Pandas, …

    Python 1

  5. superstore_sales_analysis superstore_sales_analysis Public

    HTML