{"id":23447642,"url":"https://github.com/as16082023/project-portfolio","last_synced_at":"2026-04-27T11:32:03.168Z","repository":{"id":243727212,"uuid":"811755449","full_name":"as16082023/Project-Portfolio","owner":"as16082023","description":"A guide to all my projects","archived":false,"fork":false,"pushed_at":"2024-12-15T15:25:53.000Z","size":37,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-04-10T01:44:55.615Z","etag":null,"topics":["dashboard","data-analysis","data-cleaning","data-visualization","excel","mysql","power-bi","python","sql","tableau"],"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/as16082023.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":"2024-06-07T08:32:01.000Z","updated_at":"2024-12-15T15:25:57.000Z","dependencies_parsed_at":"2024-06-10T22:35:48.710Z","dependency_job_id":"6c18b8e0-1dcc-4b64-bb57-d4945a22566e","html_url":"https://github.com/as16082023/Project-Portfolio","commit_stats":null,"previous_names":["as16082023/project-portfolio"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/as16082023/Project-Portfolio","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/as16082023%2FProject-Portfolio","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/as16082023%2FProject-Portfolio/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/as16082023%2FProject-Portfolio/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/as16082023%2FProject-Portfolio/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/as16082023","download_url":"https://codeload.github.com/as16082023/Project-Portfolio/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/as16082023%2FProject-Portfolio/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":32335296,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-26T23:26:28.701Z","status":"online","status_checked_at":"2026-04-27T02:00:06.769Z","response_time":128,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"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":["dashboard","data-analysis","data-cleaning","data-visualization","excel","mysql","power-bi","python","sql","tableau"],"created_at":"2024-12-23T21:19:13.229Z","updated_at":"2026-04-27T11:32:03.147Z","avatar_url":"https://github.com/as16082023.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"# 📊 Akansha's Portfolio\nWelcome to my portfolio! This space showcases a summary of my projects in the data domain.\n\n# 🗂️ Contents\n  - [Excel](#excel) \n  - [SQL](#sql)\n  - [Tableau](#tableau)\n  - [Power-BI](#power-bi)\n  - [Python](#python)\n\n  # Excel \n| Project Link | Project Description | \n|---|---|\n [Supermarket Sales](https://www.linkedin.com/in/akanshashaw230816/recent-activity/all/) | Examining the operational efficiency of supermarkets across three diverse urban landscapes, designed an Excel dashboard to visualize and analyze their performance metrics. |\n |  [Coffee Bean Sales](https://github.com/as16082023/Coffee-Bean-Sales-Analysis) | This project entails analyzing coffee bean sales data over four years to gain insights into consumer behavior and market trends. |\n|  [Manufacturing Downtime Analysis](https://github.com/as16082023/Manufacturing-Downtime-Analysis) | The project focused on analyzing manufacturing downtime data for a beverage production line operated by Wolf Cola, aiming to uncover inefficiencies and deliver actionable recommendations to enhance productivity. |\n|  [Global Electronics Retailer](https://github.com/as16082023/Global-Electronics-Retailer) | Examined Maven Electronics' performance data to uncover factors contributing to the revenue decline since 2020.  |\n|  [Employee Survey Analysis](https://github.com/as16082023/Employee-Survey-Analysis) |Assessed survey data from 1,500 employees to evaluate job satisfaction and engagement, providing insights to enhance workplace culture and retention.  |\n\n\n  \n  # SQL\n  | Project Link | Project Description | \n|---|---|\n [Music Store Analysis](https://github.com/as16082023/Music-Store-Analysis) |The project involves analyzing music store data using SQL queries to enhance decision-making, identify trends, and understand customer behavior. |\n|  [Restaurant Order Analysis](https://github.com/as16082023/Restaurant-Order-Analysis) |As a data analyst at The Taste of the World Café, assessed the reception of newly introduced menu items by analyzing customer data. |\n|  [Covid-19 Data Exploration](https://github.com/as16082023/COVID-19--Data-Exploration-) |  The project focuses on analyzing COVID-19 data using SQL queries. It involves two tables, CovidDeaths and CovidVaccinations, which provide detailed information about COVID-19 cases |\n|  [Nashville Housing Data Cleaning](https://github.com/as16082023/Nashville-Housing-Data-Cleaning-Project) | This project involved cleaning and optimizing a Nashville housing dataset, addressing key data quality issues to ensure it was ready for accurate analysis. |\n|  [Global Layoffs](https://github.com/as16082023/World-Layoffs)| Analyzing global company layoffs to uncover industry trends and workforce impacts through data cleaning and exploratory data analysis. |\n|[AtliQ Hardwares](https://github.com/as16082023/AtliQ-Hardware)| Analyzed data for Atliq Hardware to provide key insights through a SQL challenge. |\n|[Motor Vehicle Thefts](https://github.com/as16082023/Motor-Vehicle-Thefts)| Analyzed vehicle thefts in New Zealand to identify when and where they take place. |\n|[Goodcabs' Performance Analysis](https://github.com/as16082023/Goodcabs-Performance-Analysis)| Analysing Goodcabs' performance in transportation across India from January to June 2024. |\n\n  # Tableau\n  | Project Link | Project Description | Dashboard Link\n|---|---|---|\n [Space Missions Dashboard](https://github.com/as16082023/Space-Missions-dashboard) | Created a Tableau dashboard to visualize the history of space missions, highlighting key trends, patterns, and insights on launches, successes, companies, and rocket types. | [Dashboard](https://public.tableau.com/app/profile/akansha.shaw/viz/Book_spacemissions/Dashboard1) |\n|  [Law Enforcement Encounter Analysis](https://github.com/as16082023/Police-Encounter-Case-Study) | Develop a comprehensive Tableau dashboard analyzing US law enforcement encounters in 2015-2016 | [Dashboard](https://public.tableau.com/app/profile/akansha.shaw/viz/Book_policeencounter/Dashboard1) |\n|  [Online Retail Dashboard](https://github.com/as16082023/Forage--TATA--Virtual-Internship) | Completed a virtual internship with Forage-Tata, utilizing Excel for data cleaning, Tableau for visualization, and PowerPoint for presenting insights to address business questions.  |  [Dashboard](https://public.tableau.com/app/profile/akansha.shaw/viz/book_onlineretail/Dashboard1) |\n|  [Mapping Heart Health Risks](https://github.com/as16082023/Heart-Health-Dashboard?tab=readme-ov-file) | A Tableau project analyzing heart disease risks by age, gender, and key health metrics to identify critical trends and insights.  |  [Dashboard](https://public.tableau.com/app/profile/akansha.shaw7455/viz/HeartHealthRisks/Dashboard1) |\n\n\n  # Power-BI\n  | Project Link | Project Description | \n|---|---|\n [Data Professional Survey Breakdown](https://github.com/as16082023/Data-Professional-Survey-Breakdown-) |  Developed a dashboard to visualize 2022 survey data from Alex the Analyst, providing insights into data professionals' salary distribution, preferred programming languages, and satisfaction with salary and work-life balance. |\n|   [AdventureWorks- Bike Shop Analysis ](https://github.com/as16082023/AdventureWorks--Bike-Shop--Dashboard) | Using Power BI, this project analyzes AdventureWorks' sales, revenue, profit, and returns, comparing regional performance and identifying trends and high-value customers from a comprehensive dataset. |\n|  [Credit Card Financial Dashboard](https://github.com/as16082023/Credit-Card-Financial-Dashboard) | Developed a comprehensive Power BI dashboard for real-time credit card operations insights, visualizing transaction data and customer demographics.  |\n|  [Atliq Grand Hospitality Analysis](https://github.com/as16082023/Atliq-Hospitality-analysis) | This project presents an overview of AtliQ Grands' performance in the hospitality industry.  |\n|  [Electric Vehicles Sales](https://github.com/as16082023/Electric-Vehicles-) | A resume project challenge by Codebasics, analyzing the EV/Hybrid Vehicles Industry to provide actionable insights for strategic decisions.  |\n\n  # Python\n  | Project Link | Project Description |\n|---|--- |\n [Hotel Booking Analysis](https://github.com/as16082023/Hotel-Booking-Analysis-EDA-) | This project explores and analyzes hotel booking data to identify key factors influencing bookings, providing insights for hotel management to enhance business performance through targeted campaigns. |\n [Fuel Economy Prediction](https://github.com/as16082023/Fuel-Economy-Prediction) | The project focuses on predicting vehicle fuel efficiency (mpg) using linear regression in Python. | \n\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fas16082023%2Fproject-portfolio","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fas16082023%2Fproject-portfolio","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fas16082023%2Fproject-portfolio/lists"}