Turning raw data into meaningful insights, interactive dashboards, and data-driven business decisions.

I am a Graduated B.Tech Information Technology student aspiring to build a career as a Data Analyst.

I enjoy working with data to identify patterns, generate insights, create dashboards, and support data-driven decision-making.

• 📊 Data Analysis & Visualization
• 🧮 SQL & Database Management
• 🐍 Python for Data Analysis
• 📈 Power BI & Dashboard Development
• 📗 Advanced Excel
• 🔍 Exploratory Data Analysis
• 📐 Statistical Analysis
• 💡 Business Intelligence & KPI Reporting
• 🧹 Data Cleaning & Preprocessing

Raw Data
    ↓
Data Collection
    ↓
Data Cleaning
    ↓
Data Transformation
    ↓
Exploratory Data Analysis
    ↓
Statistical Analysis
    ↓
Visualization & Dashboard
    ↓
Business Insights
    ↓
Data-Driven Decisions

• Data Cleaning
• Data Transformation
• Exploratory Data Analysis (EDA)
• Descriptive Statistics
• Correlation Analysis
• Trend Analysis
• KPI Analysis
• Data Interpretation
• Business Insights

• Python
• SQL
• R

• Power BI
• Tableau
• Excel Dashboards
• Matplotlib
• Seaborn

• MySQL
• Oracle
• MongoDB

• Advanced Excel
• Pivot Tables
• Pivot Charts
• XLOOKUP
• VLOOKUP
• INDEX & MATCH
• IF / IFS
• SUMIFS / COUNTIFS
• Conditional Formatting
• Data Validation
• Data Cleaning
• Dashboard Creation

• Git
• GitHub
• VS Code
• Jupyter Notebook
• Microsoft Excel

An interactive sales analytics dashboard designed to monitor business performance and identify important sales trends.

• 💰 Total Sales & Revenue
• 📈 Total Profit
• 📊 Profit Margin
• 🌍 Region-wise Sales
• 🏙️ City-wise Sales
• 📦 Product-wise Sales
• 🗂️ Category-wise Sales
• 👤 Sales Representative Performance
• 📅 Monthly Sales Trends
• 🎯 KPI Monitoring

Power BI Excel SQL

A data analysis project focused on understanding factors affecting student academic performance.

• 🧹 Data Cleaning
• 🔎 Missing Value Handling
• 📊 Exploratory Data Analysis
• 📚 Subject-wise Performance
• 📈 Student Performance Trends
• 🔗 Correlation Analysis
• 📐 Statistical Analysis
• 📊 Visualization of Academic Metrics

Python Pandas NumPy Matplotlib Seaborn

A data-driven financial analysis project for understanding spending patterns and improving budgeting decisions.

• 💳 Expense Categorization
• 📅 Monthly Spending Analysis
• 🗂️ Category-wise Expenses
• 📈 Spending Trends
• 🔎 Transaction Analysis
• 🎯 Budget Monitoring
• 🗄️ SQL-based Data Analysis
• 📊 Expense Visualization

SQL Python Excel

                 ┌─────────────────┐
                 │   DATA SOURCE   │
                 └────────┬────────┘
                          ↓
                 ┌─────────────────┐
                 │ DATA COLLECTION │
                 └────────┬────────┘
                          ↓
                 ┌─────────────────┐
                 │ DATA CLEANING   │
                 └────────┬────────┘
                          ↓
                 ┌─────────────────┐
                 │ TRANSFORMATION  │
                 └────────┬────────┘
                          ↓
                 ┌─────────────────┐
                 │      EDA        │
                 └────────┬────────┘
                          ↓
                 ┌─────────────────┐
                 │   STATISTICS    │
                 └────────┬────────┘
                          ↓
                 ┌─────────────────┐
                 │ VISUALIZATION   │
                 │    / BI         │
                 └────────┬────────┘
                          ↓
                 ┌─────────────────┐
                 │ BUSINESS        │
                 │ INSIGHTS        │
                 └────────┬────────┘
                          ↓
                 ┌─────────────────┐
                 │ DATA-DRIVEN     │
                 │ DECISIONS       │
                 └─────────────────┘

• 📊 Data Analytics
• 🐍 Python for Data Analysis
• 🗄️ Advanced SQL
• 📗 Advanced Excel
• 📈 Power BI
• 📐 Statistics
• 🔎 Exploratory Data Analysis
• 💼 Business Intelligence
• 🤖 Machine Learning Fundamentals

My goal is to start my career as a Data Analyst and use data to solve real-world business problems.

I am continuously improving my skills in:

SQL
  +
Excel
  +
Python
  +
Power BI
  +
Statistics
  +
Business Understanding
       ↓
  Data Analyst

🌐 Portfolio

💼 LinkedIn

✍️ Medium

Turning Data into Insights • Insights into Decisions • Decisions into Impact 📊

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