{"id":26166284,"url":"https://github.com/coding-for-it/data-visualization-infosys-springboard-internship","last_synced_at":"2026-02-11T05:32:15.748Z","repository":{"id":265012385,"uuid":"894863376","full_name":"coding-for-it/Data-Visualization-Infosys-Springboard-Internship","owner":"coding-for-it","description":null,"archived":false,"fork":false,"pushed_at":"2024-12-13T11:41:24.000Z","size":9908,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-08-25T18:49:13.831Z","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":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/coding-for-it.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","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":"2024-11-27T06:13:48.000Z","updated_at":"2024-12-13T11:41:28.000Z","dependencies_parsed_at":"2025-03-11T16:50:38.482Z","dependency_job_id":null,"html_url":"https://github.com/coding-for-it/Data-Visualization-Infosys-Springboard-Internship","commit_stats":null,"previous_names":["coding-for-it/data-visualization-infosys-springboard-internship"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/coding-for-it/Data-Visualization-Infosys-Springboard-Internship","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/coding-for-it%2FData-Visualization-Infosys-Springboard-Internship","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/coding-for-it%2FData-Visualization-Infosys-Springboard-Internship/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/coding-for-it%2FData-Visualization-Infosys-Springboard-Internship/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/coding-for-it%2FData-Visualization-Infosys-Springboard-Internship/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/coding-for-it","download_url":"https://codeload.github.com/coding-for-it/Data-Visualization-Infosys-Springboard-Internship/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/coding-for-it%2FData-Visualization-Infosys-Springboard-Internship/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":29327326,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-02-11T03:52:29.695Z","status":"ssl_error","status_checked_at":"2026-02-11T03:52:23.094Z","response_time":97,"last_error":"SSL_read: 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analysis, modeling, and visualization techniques to aid financial decision-making.\n\nProject Overview-\nFinancial forecasting is a critical aspect of business decision-making. \nThis project focuses on transforming raw financial data into actionable insights using Power BI's advanced visualization capabilities. \nThe interactive dashboard facilitates predictions of future financial outcomes, providing stakeholders with key metrics such as revenue, expenses, and profit margins.\n\nScope of the Project-\nThis project encompasses the full lifecycle of data analysis and visualization:\nData Collection \u0026 Preprocessing: Cleaned and standardized financial data.\nForecasting Models: Applied techniques like moving averages and exponential smoothing.\nDashboard Design: Developed an interactive interface with real-time insights.\nStakeholder Focus: Enhanced decision-making through key performance metrics.\n\nProject Objectives-\nTransform raw financial data into dynamic visualizations.\nImplement advanced forecasting techniques to predict key outcomes.\nDesign an intuitive dashboard with interactive features.\nEnable stakeholders to analyze trends and make data-driven decisions.\n\nKey Features-\nInteractive Dashboards: Visualize financial data with dynamic slicers and filters.\nForecasting Models: Predict future performance using statistical techniques.\nReal-Time Analysis: Leverage DAX (Data Analysis Expressions) for up-to-date insights.\nCustom Visualizations: Incorporate bar charts, line graphs, maps, and KPIs.\n\nTools and Technologies-\nPower BI: For data transformation, modeling, and dashboard design.\nExcel/CSV: For importing and preprocessing data.\nDAX: For advanced calculations and 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