{"id":29899209,"url":"https://github.com/murugavl/forage_tata_genai_powered_data_analytics","last_synced_at":"2026-02-09T15:36:19.388Z","repository":{"id":306254764,"uuid":"1025549759","full_name":"Murugavl/Forage_TATA_GenAI_Powered_Data_Analytics","owner":"Murugavl","description":"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.","archived":false,"fork":false,"pushed_at":"2025-09-19T14:05:14.000Z","size":1521,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":0,"default_branch":"main","last_synced_at":"2025-09-19T15:44:44.814Z","etag":null,"topics":["excel","genai","matplotlib","numpy","pandas","powerbi","python"],"latest_commit_sha":null,"homepage":"","language":null,"has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/Murugavl.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null,"notice":null,"maintainers":null,"copyright":null,"agents":null,"dco":null,"cla":null}},"created_at":"2025-07-24T12:27:51.000Z","updated_at":"2025-09-19T14:05:18.000Z","dependencies_parsed_at":"2025-08-01T12:28:48.275Z","dependency_job_id":null,"html_url":"https://github.com/Murugavl/Forage_TATA_GenAI_Powered_Data_Analytics","commit_stats":null,"previous_names":["murugavl/forage_tata_genai_powered_data_analytics"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/Murugavl/Forage_TATA_GenAI_Powered_Data_Analytics","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Murugavl%2FForage_TATA_GenAI_Powered_Data_Analytics","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Murugavl%2FForage_TATA_GenAI_Powered_Data_Analytics/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Murugavl%2FForage_TATA_GenAI_Powered_Data_Analytics/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Murugavl%2FForage_TATA_GenAI_Powered_Data_Analytics/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Murugavl","download_url":"https://codeload.github.com/Murugavl/Forage_TATA_GenAI_Powered_Data_Analytics/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Murugavl%2FForage_TATA_GenAI_Powered_Data_Analytics/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":29271059,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-02-09T13:47:44.167Z","status":"ssl_error","status_checked_at":"2026-02-09T13:47:43.721Z","response_time":56,"last_error":"SSL_read: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["excel","genai","matplotlib","numpy","pandas","powerbi","python"],"created_at":"2025-08-01T12:17:52.120Z","updated_at":"2026-02-09T15:36:19.370Z","avatar_url":"https://github.com/Murugavl.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"# Forage – TATA GenAI Powered Data Analytics\n\nThis repository contains my work for the **TATA Data Visualisation: Empowering Business with Effective Insights (GenAI Powered)** virtual experience program offered by **Forage**.  \n\nThe program focused on applying **data analytics, visualization, and AI-powered insights** to real-world business problems.  \nIt includes **four structured tasks** that progressively build analytical and visualization skills, along with my completion certificate.\n\n---\n\n## 📂 Repository Structure\n\n    Forage_TATA_GenAI_Powered_Data_Analytics/\n    │\n    ├── Task_1/ # Data cleaning and exploration\n    ├── Task_2/ # Data analysis and deriving insights\n    ├── Task_3/ # Data visualization and storytelling\n    ├── Task_4/ # Business presentation and actionable insights\n    │\n    ├── My_Certificate.pdf # Program completion certificate\n    └── README.md # Project documentation\n\n\n---\n\n## 📝 Tasks Overview\n\n### 🔹 Task 1 – Data Cleaning \u0026 Exploration\n- Processed raw business data.  \n- Handled missing values, duplicates, and inconsistencies.  \n- Explored initial patterns and summarized datasets.  \n\n### 🔹 Task 2 – Data Analysis\n- Applied descriptive and diagnostic analytics.  \n- Identified correlations, trends, and anomalies.  \n- Generated business-related insights from structured datasets.  \n\n### 🔹 Task 3 – Data Visualization\n- Created clear and impactful visualizations.  \n- Designed charts, dashboards, and visual storytelling.  \n- Used visualization to highlight **key business KPIs**.  \n\n### 🔹 Task 4 – Business Presentation\n- Combined insights into a presentation-style output.  \n- Recommended **data-driven strategies** to improve decision-making.  \n- Focused on **effective communication of insights** for stakeholders.  \n\n---\n\n## ⚙️ Technologies Used\n\n- **Python** (pandas, numpy, matplotlib, seaborn)  \n- **Excel** (for quick analysis \u0026 charts)  \n- **Power BI** (where applicable for visual storytelling)  \n- **GenAI tools** (for summarization and insight generation)  \n\n---\n\n## 📜 Certificate\n\nThe file **`My_Certificate.pdf`** contains the completion certificate for this program.  \n\n---\n\n## 📌 Key Learnings\n\n- Practical exposure to data analytics lifecycle (cleaning → analysis → visualization → presentation).\n- Translating raw data into business insights.\n- Leveraging GenAI for faster and more efficient analysis.\n- Importance of visual storytelling in business decision-making.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmurugavl%2Fforage_tata_genai_powered_data_analytics","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmurugavl%2Fforage_tata_genai_powered_data_analytics","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmurugavl%2Fforage_tata_genai_powered_data_analytics/lists"}