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📊 Data Analytics Project

📌 Overview

This project was completed as part of the DecodeLabs Industrial Training Program (Batch 2026). The objective was to apply fundamental data analytics concepts to solve real-world business problems using industry-standard tools and techniques.

🎯 Objectives

  • Prepare and analyze data efficiently.
  • Generate meaningful insights from datasets.
  • Apply analytical techniques to support data-driven decision-making.
  • Develop practical skills in data analytics workflows.

🛠️ Tools & Technologies

  • Microsoft Excel
  • SQL
  • Python (Pandas, NumPy)
  • Power BI (Optional)

📂 Project Workflow

  1. Data Collection
  2. Data Cleaning & Preparation
  3. Exploratory Data Analysis (EDA)
  4. SQL Data Analysis
  5. Insight Generation
  6. Reporting & Documentation

🚀 Key Skills Demonstrated

  • Data Cleaning
  • Exploratory Data Analysis (EDA)
  • SQL Querying
  • Data Visualization
  • Statistical Analysis
  • Problem Solving
  • Analytical Thinking

📈 Outcome

The project successfully transformed raw data into meaningful insights through structured analysis. It demonstrates practical knowledge of data preprocessing, statistical analysis, SQL querying, and reporting, helping build a strong foundation for real-world data analytics projects.

📜 Internship

Organization: DecodeLabs
Program: Industrial Training Kit – Data Analytics (Batch 2026)


⭐ This project showcases hands-on experience in data analytics and reflects my ability to clean, analyze, and interpret data to support business decisions.