https://github.com/murugavl/forage_tata_genai_powered_data_analytics

This repository showcases my work from the TATA GenAI Powered Data Analytics Virtual Experience on Forage, where I applied data cleaning, analysis, and visualization techniques to derive actionable business insights.
https://github.com/murugavl/forage_tata_genai_powered_data_analytics

excel genai matplotlib numpy pandas powerbi python

Last synced: 6 months ago
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This repository showcases my work from the TATA GenAI Powered Data Analytics Virtual Experience on Forage, where I applied data cleaning, analysis, and visualization techniques to derive actionable business insights.

• Host: GitHub
• URL: https://github.com/murugavl/forage_tata_genai_powered_data_analytics
• Owner: Murugavl
• Created: 2025-07-24T12:27:51.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2025-09-19T14:05:14.000Z (10 months ago)
• Last Synced: 2025-09-19T15:44:44.814Z (10 months ago)
• Topics: excel, genai, matplotlib, numpy, pandas, powerbi, python
• Homepage:
• Size: 1.45 MB
• Stars: 0
• Watchers: 0
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# Forage – TATA GenAI Powered Data Analytics

This repository contains my work for the **TATA Data Visualisation: Empowering Business with Effective Insights (GenAI Powered)** virtual experience program offered by **Forage**.  

The program focused on applying **data analytics, visualization, and AI-powered insights** to real-world business problems.  

It includes **four structured tasks** that progressively build analytical and visualization skills, along with my completion certificate.

---

## 📂 Repository Structure

    Forage_TATA_GenAI_Powered_Data_Analytics/

    │

    ├── Task_1/ # Data cleaning and exploration

    ├── Task_2/ # Data analysis and deriving insights

    ├── Task_3/ # Data visualization and storytelling

    ├── Task_4/ # Business presentation and actionable insights

    │

    ├── My_Certificate.pdf # Program completion certificate

    └── README.md # Project documentation

---

## 📝 Tasks Overview

### 🔹 Task 1 – Data Cleaning & Exploration

- Processed raw business data.  

- Handled missing values, duplicates, and inconsistencies.  

- Explored initial patterns and summarized datasets.  

### 🔹 Task 2 – Data Analysis

- Applied descriptive and diagnostic analytics.  

- Identified correlations, trends, and anomalies.  

- Generated business-related insights from structured datasets.  

### 🔹 Task 3 – Data Visualization

- Created clear and impactful visualizations.  

- Designed charts, dashboards, and visual storytelling.  

- Used visualization to highlight **key business KPIs**.  

### 🔹 Task 4 – Business Presentation

- Combined insights into a presentation-style output.  

- Recommended **data-driven strategies** to improve decision-making.  

- Focused on **effective communication of insights** for stakeholders.  

---

## ⚙️ Technologies Used

- **Python** (pandas, numpy, matplotlib, seaborn)  

- **Excel** (for quick analysis & charts)  

- **Power BI** (where applicable for visual storytelling)  

- **GenAI tools** (for summarization and insight generation)  

---

## 📜 Certificate

The file **`My_Certificate.pdf`** contains the completion certificate for this program.  

---

## 📌 Key Learnings

- Practical exposure to data analytics lifecycle (cleaning → analysis → visualization → presentation).

- Translating raw data into business insights.

- Leveraging GenAI for faster and more efficient analysis.

- Importance of visual storytelling in business decision-making.