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Financial Dashboard developed in Microsoft Excel for expense tracking, budget planning, and financial analysis.
The project includes automated calculations, dynamic charts, KPI monitoring, expense categorization, and interactive dashboards designed to support better financial decision-making.
Key Features:
• Expense and income tracking
• Automated calculations
• Financial KPIs
• Interactive dashboards
• Data visualization
• Budget planning
Technologies:
• Microsoft Excel
• Pivot Tables
• Charts & Dashboards
• Data Analysis
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
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Every growing business has the same problem: finances spread across too many tools, too many tabs, and too much noise.
Maven was designed to end that. A finance SaaS landing page built for operators, founders, agencies, and startups who need one clear dashboard where accounts, payments, invoicing, card management, and cash flow all live together without fighting for attention.
All your business finances. One clear dashboard. The headline says everything, and the design proves it.
This is what a SaaS landing page looks like when it respects the intelligence of the people it's selling to.
Does this feel like a dashboard your finance team would actually trust? 👇
Tools: Figma , Jitter
#SaaSDesign #LandingPage #WebDesign #FintechUI #UIDesign #ContraFreelance #ProductDesign #DashboardDesign
Nice use of whitespace. It keeps everything focused.
Data Cleaning with Excel
Project Title
Enterprise Financial Health & Risk Command Center
Project Overview
Engineered a comprehensive, interactive business intelligence dashboard using raw corporate financial datasets sourced from Kaggle. The goal of this project was to establish a centralized "Command Center" that bridges operational bottom-line metrics with enterprise balance sheet liabilities for high-level executive review.
The Technical & Analytical Process
Data Engineering & Preparation: Processed, extracted, cleaned, and structured unorganized raw financial logs to build a reliable data model mapping Net Income timelines against liability structures.
Interactive Risk Mapping: Designed custom action filters within a scatter plot framework. As shown in "Dashboard 1 (1).png", this allows stakeholders to actively select specific liquidity risk outliers on the Liquidity Risk Map (comparing Total Liabilities against Working Capital Ratio) to instantly filter and update corresponding multi-year Profitability Trends.
C-Suite Design Standards: Optimized the dashboard layout using a minimalist, corporate-friendly color palette (structured around graded blue-scale metrics for Net Income ranges from 20B to 28B) ensuring the visual assets meet strict presentation standards for executive board reviews.
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