{"id":26244514,"url":"https://github.com/pradip-data/data-analyst-portfolio","last_synced_at":"2026-01-02T04:31:09.730Z","repository":{"id":279992636,"uuid":"940552422","full_name":"pradip-data/Data-Analyst-Portfolio","owner":"pradip-data","description":null,"archived":false,"fork":false,"pushed_at":"2025-02-28T11:29:52.000Z","size":0,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-02-28T21:06:54.281Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"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/pradip-data.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}},"created_at":"2025-02-28T11:29:52.000Z","updated_at":"2025-02-28T11:29:56.000Z","dependencies_parsed_at":"2025-02-28T21:06:57.529Z","dependency_job_id":"0e27ae3f-196e-4b5f-a63a-b2fca76b2c34","html_url":"https://github.com/pradip-data/Data-Analyst-Portfolio","commit_stats":null,"previous_names":["pradip-data/data-analyst-portfolio"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/pradip-data%2FData-Analyst-Portfolio","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/pradip-data%2FData-Analyst-Portfolio/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/pradip-data%2FData-Analyst-Portfolio/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/pradip-data%2FData-Analyst-Portfolio/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/pradip-data","download_url":"https://codeload.github.com/pradip-data/Data-Analyst-Portfolio/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":243395186,"owners_count":20284095,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","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":[],"created_at":"2025-03-13T11:27:51.968Z","updated_at":"2026-01-02T04:31:09.475Z","avatar_url":"https://github.com/pradip-data.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"\n# 📊 Pradip's Data Analyst Portfolio  \n👨‍💻 **Data Analyst | SQL | Python | Power BI | BigQuery | AI-Driven Insights**  \n\n | 📧 **Email:** pradipias2023@gmail.com | 🏆 **[GitHub](https://github.com/pradip-data)** | **[linkdin](https://www.linkedin.com/in/pradipmangroliya/)**  | **[Medium](https://medium.com/@pradipdataWorld)**\n\n---\n\n## 🚀 About Me  \nI am a  Mangroliya Pradip **data analyst** with expertise in **data visualization, SQL, Python, and AI-powered analytics**. I specialize in **interactive dashboards, business intelligence, and advanced data insights** to support data-driven decision-making.  \n\n💡 Passionate about transforming raw data into actionable insights using **Power BI, SQL, Python, and AI**.  \n\n---\n\n## 🛠️ Technical Skills  \n\n✅ **Business Intelligence \u0026 Visualization:**  \n- Power BI, Power Query, Power Pivot  \n- Microsoft Excel, Advanced Excel  \n- Looker Studio (Basic Knowledge)  \n\n✅ **Programming \u0026 Data Processing:**  \n- Python (Numpy, Pandas, Matplotlib, Seaborn)  \n- SQL (MySQL, PostgreSQL, Google BigQuery)  \n- Web Scraping (Python, ChatGPT AI)  \n- ChatGPT Prompt Writing  \n\n✅ **Databases \u0026 Cloud:**  \n- Google BigQuery  \n- Basic Knowledge of Cloud Data Warehousing  \n\n✅ **Web Technologies (Basic Knowledge):**  \n- HTML5, CSS3, Bootstrap  \n\n✅ **AI \u0026 Automation:**  \n- AI-Driven Data Analysis  \n- ChatGPT AI Insights \u0026 Report Generation  \n\n---\n\n## 🏆 Featured Projects  \n\n## 🎭 **1. The Dark Side of Digital India: Cyber Crime Analysis**\n\n🚀 **GitHub Repository:** [Power-BI-Cyber-Crime-Dashboard](https://github.com/pradip-data/Power-BI-Cyber-Crime-Dashboard)\n\n📌 **Project Overview**\n\nThis project provides an in-depth analysis of **cyber crime trends in India** using **Power BI**. It highlights crime patterns, affected demographics, and key insights based on official reports from **NCRB, PIB, and RBI**. The dashboard enables **interactive exploration** of state-wise crime trends, yearly data variations, and cyber fraud categories.\n\n🛠️ **Skills \u0026 Technologies**\n\n🔹 **Skills:** Data Visualization 📊 | ETL with Power Query ⚡ | Report Automation 📝 | Trend Analysis 📈 | Statistical Insights 📉 | Interactive Dashboard Creation 📟 | Data Storytelling 🗣️  \n🔹 **Technology:** Power BI 🔵 | Power Query ⚙️ | ChatGPT AI 🤖 | CSV/PDF Data Extraction 📁 | Web Scraping 🌐\n\n📂 **Data Sources**\n\n📜 **NCRB Report 2022** *(National Crime Records Bureau)*  \n📰 **PIB (Press Information Bureau)**  \n🏛️ **Rajya Sabha \u0026 Lok Sabha Question-Answer Data**  \n🏦 **RBI Reports (Reserve Bank of India)**  \n\n📁 **Data Formats Used: ** CSV, PDF, Web Scraping\n\n---\n\n## 🌍 **2. Global Merchandise Trade (1947-2023)**\n\n🚀 **GitHub Repository:** [World-Merchandise-Trade](https://github.com/pradip-data/World-Merchandise-Trade)\n\n📌 **Project Overview**\n\nThis project provides a comprehensive analysis of **Global Merchandise Trade from 1947 to 2023** using **Google BigQuery and Python**. It explores trade trends, country-wise performance, and economic impacts based on **official WTO trade statistics**.\n\n🛠️ **Skills \u0026 Technologies**\n\n🔹 **Skills:** Data Analysis 📊 | SQL Queries ⚡ | Data Cleaning 🧹 | Trend Analysis 📈 | Statistical Insights 📉 | AI-Generated Reports 🤖  \n🔹 **Technology:** Google BigQuery 🔵 | Python 🐍 | Pandas 📊 | Numpy 🔢 | Matplotlib 📉 | Seaborn 📈 | ChatGPT AI 🤖 | AI Report Generator 📑  \n\n📂 **Data Sources**\n\n📜 **Official WTO Merchandise Trade Statistics**  \n\n📁 **Data Formats Used: ** CSV, PDF, Web Scraping\n\n---\n\n## 📢 **3. Brand Reputation \u0026 Social Media Monitoring**\n\n🚀 **GitHub Repository:** [Brand-Reputation-Social-Media-Monitoring](https://github.com/pradip-data/Brand-Reputation-Social-Media-Monitoring)\n\n📌 **Project Overview**\n\nAfriTech Electronics Ltd. is facing critical challenges impacting its **brand reputation**, directly affecting **customer trust, sales performance, and market competitiveness**. The following key issues have been identified:  \nThis project analyzes **social media trends and customer feedback** to identify reputation risks and improve brand perception using **SQL and AI-driven analysis**.\n\n🛠️ **Skills \u0026 Technologies**\n\n🔹 **Skills:** Brand Sentiment Analysis 📊 | Social Media Monitoring 🌍 | SQL Query Optimization ⚡ | AI-Based Insights 🤖 | Data Cleaning \u0026 Processing 🧹  \n🔹 **Technology:** MySQL 🛢️ | SQL 📜 | ChatGPT AI 🤖\n\n📂 **Data Sources**\n\n📜 **Amdari** *(Social Media \u0026 Customer Feedback Data)*  \n\n📁 **Data Formats Used: ** CSV\n\n---\n\n## 🛒 **4. Strategies to Combat Shopping Cart Abandonment \u0026 Boost Sales at E-commerce**\n\n🚀 **GitHub Repository:** [Ecommerce-Sales-Optimization](https://github.com/pradip-data/Ecommerce-Sales-Optimization)\n\n📌 **Project Overview**\n\nShopping cart abandonment is a significant challenge for e-commerce businesses, including **MagicMade**. Customers often add items to their carts but leave without completing the purchase, leading to **revenue loss** and **reduced customer retention**. This project leverages **Python, Power BI, and SQL** to analyze cart abandonment trends, identify key reasons, and suggest actionable strategies to improve conversions.\n\n🛠️ **Skills \u0026 Technologies**\n\n🔹 **Skills:** Data Analysis 📊 | SQL Queries ⚡ | Python Visualization 📈 | AI-Generated Reports 🤖 | Business Intelligence 📊  \n🔹 **Technology:** Python 🐍 | SQL 📜 | MySQL 🛢️ | Power BI 🔵 | Power Query ⚙️ | ChatGPT AI 🤖 | Numpy 🔢 | Pandas 📊 | Matplotlib 📉 | Seaborn 📈  \n\n📂 **Data Sources**\n\n📜 **Amdari** *(E-commerce Customer Behavior Data)*  \n\n📁 **Data Formats Used: ** CSV\n\n---\n\n## 🏢 **5. MSME Growth, Contribution \u0026 Financial Challenges in India**\n\n🚀 **GitHub Repository:** [India-MSME-Dynamics](https://github.com/pradip-data/India-MSME-Dynamics)\n\n📌 **Project Overview**\n\nThis **Power BI and Power Query** project provides an in-depth analysis of **MSME (Micro, Small, and Medium Enterprises) Growth, Contribution, and Financial Challenges in India**. The study explores **MSME formalization, female entrepreneurship, manufacturing sector insights, employment trends, GDP contribution, and financial gaps**.\n\n🛠️ **Skills \u0026 Technologies**\n\n🔹 **Skills:** Business Intelligence 📊 | Data Cleaning 🧹 | Trend Analysis 📈 | Statistical Insights 📉 | AI-Generated Reports 🤖  \n🔹 **Technology:** Power BI 🔵 | Power Query ⚙️ | AI-Based Insights 🤖 | ChatGPT AI 🤖 | Web Scraping 🌐  \n\n📂 **Data Sources**\n\n📜 **Udyam Registration Portal**  \n📜 **MSME Dashboard (Ministry of MSME)**  \n📜 **MSME Finance Gap**  \n📜 **Government Reports \u0026 Economic Surveys**  \n📜 **World Bank \u0026 Industry Research on MSME Financial Gaps**  \n\n📁 **Data Formats Used: ** CSV, PDF, Web Scraping\n\n\n## 🎖️ Certifications  \n\n📜 **Project-Based Certifications:**  \n\n1. [Product Campaign Metrics - Comparing Marketing Campaigns](https://github.com/pradip-data/Data-Analyst-Portfolio/blob/7aac1be0544f902d8383558aa02caf0f245f955c/Certificates/Product%20Campaign%20Metrics%20Comparing%20Marketing%20Campaigns%20project%20certificate.pdf)  \n2. [Route Optimization for Food Delivery](https://github.com/pradip-data/Data-Analyst-Portfolio/blob/7aac1be0544f902d8383558aa02caf0f245f955c/Certificates/Route%20Optimization%20for%20Food%20Delivery%20Improving%20Delivery%20project%20certificate.pdf)  \n3. [Comprehensive Cybersecurity Risk Analysis](https://github.com/pradip-data/Data-Analyst-Portfolio/blob/7aac1be0544f902d8383558aa02caf0f245f955c/Certificates/Securing%20the%20Future%20Comprehensive%20Cybersecurity%20Risk%20Analysis%20project%20certificate.pdf)  \n4. [Product Quality vs. Return Rate Analysis](https://github.com/pradip-data/Data-Analyst-Portfolio/blob/7aac1be0544f902d8383558aa02caf0f245f955c/Certificates/Unveiling%20the%20Nexus%20A%20Detailed%20Analysis%20of%20Product%20Quality%20vs.%20Return%20Rate%20project%20certificate.pdf)  \n\n📜 **Technical Certifications:**  \n\n5. [Advanced Excel](https://github.com/pradip-data/Data-Analyst-Portfolio/blob/7aac1be0544f902d8383558aa02caf0f245f955c/Certificates/advance%20excel.pdf)  \n6. [AI ChatGPT](https://github.com/pradip-data/Data-Analyst-Portfolio/blob/7aac1be0544f902d8383558aa02caf0f245f955c/Certificates/ai%20chatgpt.pdf)  \n7. [SQL Certification](https://github.com/pradip-data/Data-Analyst-Portfolio/blob/7aac1be0544f902d8383558aa02caf0f245f955c/Certificates/certificate-sql.pdf)  \n8. [Data Analysis using Microsoft Excel (Coursera)](https://github.com/pradip-data/Data-Analyst-Portfolio/blob/7aac1be0544f902d8383558aa02caf0f245f955c/Certificates/coursera-Introduction%20to%20Data%20Analysis%20using%20Microsoft.pdf)  \n9. [Dashboard Mastery](https://github.com/pradip-data/Data-Analyst-Portfolio/blob/7aac1be0544f902d8383558aa02caf0f245f955c/Certificates/dashboard%20mastery.pdf)  \n10. [Power BI Certification](https://github.com/pradip-data/Data-Analyst-Portfolio/blob/7aac1be0544f902d8383558aa02caf0f245f955c/Certificates/power%20bi.pdf)  \n11. [Power Query Certification](https://github.com/pradip-data/Data-Analyst-Portfolio/blob/7aac1be0544f902d8383558aa02caf0f245f955c/Certificates/power%20query.pdf)  \n12. [Python Developer Certification](https://github.com/pradip-data/Data-Analyst-Portfolio/blob/7aac1be0544f902d8383558aa02caf0f245f955c/Certificates/python%20developer.pdf)  \n\n---\n\n## 🎯 How to Reach Me   \n📧 **Email:** pradipias2023@gmail.com \n\n\n\n\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpradip-data%2Fdata-analyst-portfolio","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fpradip-data%2Fdata-analyst-portfolio","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpradip-data%2Fdata-analyst-portfolio/lists"}