{"id":26230100,"url":"https://github.com/frocode/technical-task-yasa-1-llc","last_synced_at":"2026-04-17T04:02:15.327Z","repository":{"id":239239220,"uuid":"798976281","full_name":"FroCode/TECHNICAL-TASK-YASA-1-LLC","owner":"FroCode","description":null,"archived":false,"fork":false,"pushed_at":"2024-05-30T16:02:55.000Z","size":55306,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2024-05-31T18:04:06.089Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"Jupyter Notebook","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/FroCode.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":"2024-05-10T21:43:25.000Z","updated_at":"2024-05-30T16:02:58.000Z","dependencies_parsed_at":"2024-05-30T17:30:18.349Z","dependency_job_id":null,"html_url":"https://github.com/FroCode/TECHNICAL-TASK-YASA-1-LLC","commit_stats":null,"previous_names":["frocode/technical-task-yasa-1-llc"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/FroCode%2FTECHNICAL-TASK-YASA-1-LLC","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/FroCode%2FTECHNICAL-TASK-YASA-1-LLC/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/FroCode%2FTECHNICAL-TASK-YASA-1-LLC/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/FroCode%2FTECHNICAL-TASK-YASA-1-LLC/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/FroCode","download_url":"https://codeload.github.com/FroCode/TECHNICAL-TASK-YASA-1-LLC/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":243301628,"owners_count":20269377,"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":"2025-03-12T22:19:48.880Z","updated_at":"2025-12-29T04:14:05.324Z","avatar_url":"https://github.com/FroCode.png","language":"Jupyter Notebook","readme":"# YASA-1 E-Commerce Data Analysis and Forecasting\n\n\u003cimg src=\"./reports/Page 1.png\" alt=\"1\" width=\"700\" height=\"400\"\u003e\n\u003cimg src=\"./reports/Page 2.png\" alt=\"1\" width=\"700\" height=\"400\"\u003e\n\n\n## Introduction\nThis project is a comprehensive analytical solution developed for YASA-1 LLC, aimed at optimizing business operations and enhancing decision-making capabilities. Tasked by the Smart Business Analytics team, the project focuses on three key areas: demand forecasting, seller and product analysis, and product review sentiment analysis.\n\n## Task 1: Demand Forecasting\n### Objective\nImplement a robust demand forecasting system for a short-term period (14 days) starting 7 days from the last date in the data for all product groups, including new products with minimal historical data.\n\n### Approaches\n1. **Machine Learning Forecasting**: Utilized regression models, such as Random Forest and Gradient Boosting, to predict future demand.\n2. **Classical Time Series Forecasting**: Employed ARIMA models for time series forecasting.\n\n## Task 2: Analysis of Sellers and Products\n### Objective\nConduct an in-depth analysis of sellers and products on the marketplace, focusing on turnover, identifying sales leaders/outsiders in each area, and exploring the dependence of product weight on turnover and price. Additionally, provide segmentation of sellers and products with actionable business insights.\n\n### Analysis Conducted\n1. **Sellers**:\n   - Identified sellers with the highest and lowest turnover.\n   - Determined leaders and outsiders in sales within each area.\n2. **Products**:\n   - Conducted turnover analytics to identify top-performing products.\n   - Analyzed the best-selling products in each category.\n   - Investigated the relationship between product weight, turnover, and price.\n   - Segmented sellers and products to derive meaningful business insights.\n\n## Task 3: Analysis of Product Semantics\n### Objective\nDevelop functionality to classify product review comments as positive, negative, or neutral, and analyze the correlation between text comments and numerical ratings (1-5). Identify products with the best/worst reviews, and highlight sellers who predominantly receive negative feedback. Additionally, extract and highlight price mentions in comments for competitor price analysis.\n\n### Steps\n1. **Sentiment Analysis**:\n   - Implemented a classifier to categorize review comments into positive, negative, or neutral.\n   - Analyzed the correlation between numerical ratings and text comments.\n2. **Review Analytics**:\n   - Identified products with the best and worst reviews.\n   - Highlighted sellers who received mostly negative feedback.\n3. **Price Extraction**:\n   - Extracted price mentions from review comments.\n   - Compared mentioned prices with actual product prices.\n\n### Result\n\nA visual representation of the analysis results provided in an `report1.pbix` file with accompanying code that generated the insights.\n\n## Project Structure\n- `data/`: Contains the datasets used for analysis.\n- `notebooks/`: Jupyter notebooks with the analysis and visualizations.\n- `README.md`: Project overview and detailed explanation.\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ffrocode%2Ftechnical-task-yasa-1-llc","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ffrocode%2Ftechnical-task-yasa-1-llc","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ffrocode%2Ftechnical-task-yasa-1-llc/lists"}