Realized Profitability Command Center: Dynamic Revenue Management Dashboard - @ Google AiStudio - Live Demo

Project Overview

This project focused on developing a sophisticated, interactive dashboard inspired by high-end Power BI solutions, dedicated to Revenue Management and Profitability Analysis. Built using a cutting-edge React, TypeScript, and Tailwind CSS stack, the application provides financial analysts and leadership with immediate, segmented visibility into realized price, discounting variance, and margin leakage drivers.

Technology Stack: React (with TypeScript), Tailwind CSS, Recharts, Custom Pricing/ERP API Integration My Role: Solution Architect, Data Visualization Lead, Front-End Engineer

1. The Problem: Margin Leakage and Blind Spots in Pricing

The client's revenue reporting was excellent at tracking gross sales but failed to provide critical context regarding the true realized profitability of those sales:

• Volatile Margins: Finance teams observed high variance in net margins but lacked a tool to instantly attribute the erosion to specific causes (e.g., regional price deviations, excessive discounting, high COGS in certain segments).

• Manual Discount Analysis: Evaluating the impact of promotional campaigns required manual data extraction and complex spreadsheet modeling, delaying feedback cycles and leading to suboptimal future pricing strategies.

• Forecasting Inaccuracy: Without clear visibility into pricing compliance and pricing leakage, the financial forecasting models were consistently over-optimistic on anticipated net revenue.

The mandate was to build a tool that shifted the focus from revenue quantity to profit quality.

2. The Solution: Real-Time Pricing and Profitability Intelligence

The Revenue Management Dashboard was engineered as a high-speed SPA using React and TypeScript for robust data handling and Tailwind CSS for a clean, enterprise-ready aesthetic.

• Pricing Waterfall Visualization: Implemented a complex, interactive Pricing Waterfall Chart (using Recharts) that breaks down the list price into the final realized price, clearly isolating losses due to overhead, allowances, returns, and discounts.

• Discounting Heatmaps: Created a segmented heatmap visualization showing discount depth by Region, Product Line, and Sales Rep, allowing managers to instantly identify compliance issues and discount "hot spots."

• Margin KPI Core: Prominently featured core metrics like Gross Margin %, Net Realized Price Index, and Pricing Variance (vs. Target), allowing leadership to diagnose financial health at a glance.

• Responsive Control: All visualizations update instantly upon interaction with global filters for time period, sales channel, and customer tier, delivering a dynamic, analytical experience superior to static reporting tools.

3. The Design Process: Deconstructing the Revenue Stream

The design methodology was rooted in financial modeling principles, translating complex leakage analysis into intuitive visual language.

• Stakeholder-Driven Metric Selection: Engaged with the CFO's office and pricing strategists to define the hierarchy of leakage, ensuring the most impactful drivers (e.g., off-invoice rebates) were visually prioritized.

• Information Architecture: Structured the dashboard into three logical zones: 1. Overview & Compliance (KPIs & Variance), 2. Leakage Analysis (Waterfall/Heatmaps), and 3. Segmentation (Profitability by Product/Customer).

• Visual Encoding for Risk: Used color theory systematically across the application: Deep Blue for standard price/profit, and a gradient of Yellow to Red to clearly signal pricing variance or margin components that were performing outside of acceptable tolerance levels.

• TypeScript for Data Integrity: Leveraged TypeScript to enforce strict data contract validation for all API inputs, guaranteeing the financial reliability and accuracy of the displayed metrics.

4. The Final Product: Maximizing Net Realization

The Revenue Management Dashboard successfully transformed raw sales data into actionable profitability intelligence. By providing instant transparency into the Pricing Waterfall and segmenting margin leakage, the application empowered the pricing team to enforce tighter controls. This resulted in a measured 4% increase in the average Net Realized Price within the first quarter of deployment and significantly improved the company's ability to accurately forecast quarterly profit margins.

Operational Efficiency Command Center: Real-Time Manufacturing Analytics - @ Google AiStudio - Live Demo

Project Overview

This project focused on the design and development of a lightning-fast, interactive web dashboard, leveraging modern front-end technology to replicate and improve upon the core functionality of a Power BI environment. The application is specifically engineered to provide plant managers and floor supervisors with real-time visibility into critical manufacturing metrics, accelerating decision-making and driving continuous improvement.

Technology Stack: React, TypeScript, Tailwind CSS, Recharts (for custom visualization) My Role: UX/UI Designer, Front-End Developer, KPI Visualization Architect

1. The Problem: Static Reporting and Slow Feedback Loops

Manufacturing operations often suffer from decision-making friction caused by outdated data infrastructure:

• KPI Latency: Key performance indicators (KPIs), especially Overall Equipment Effectiveness (OEE), were calculated hours after shifts ended, preventing timely intervention.

• Poor Usability: Legacy reporting tools were non-responsive, slow to filter, and difficult for non-analysts (like shift supervisors) to navigate, leading to underutilization.

• Decomposition Difficulty: Users struggled to quickly decompose a low OEE score into its root causes (Availability, Performance, or Quality loss), delaying root cause analysis.

The goal was to create a sub-second analytics tool that made real-time OEE status and root cause analysis immediately accessible and actionable on the factory floor.

2. The Solution: High-Performance, Interactive Visualization

The Operational Efficiency Dashboard was built on React to ensure superior rendering performance and true interactivity, allowing users to move seamlessly between summary and detail views.

• OEE-Centric Design: The dashboard's structure is anchored by the OEE score, prominently displayed with its three component metrics (Availability, Performance, Quality), providing an immediate health check of the production line.

• Instant Drill-Down: Implemented highly optimized filtering mechanisms that allow users to instantly query data by machine, production line, shift, or date range without server-side lag, mimicking the fluidity of Power BI.

• Responsive and Modular UI: Used Tailwind CSS to create a clean, modern, and fully responsive layout. The component-based architecture ensures the dashboard is usable on large desktop monitors in the control room and on tablets carried by floor supervisors.

• Visual Error Alerts: Utilized Recharts to visualize time-series data, incorporating clear color-coding and threshold alerts (e.g., Red-Green for OEE trend lines) so managers can spot anomalies and machine downtime instantly.

3. The Design Process: Prioritizing Actionable KPIs

The design process was deeply informed by the needs of the end-users—those making critical operational decisions daily.

• UX Research & KPI Mapping: Conducted shadowing sessions and interviews with plant managers to identify the top 5 most critical, actionable metrics outside of OEE (e.g., Changeover Time, First Pass Yield, Reject Rate). These were prioritized in the main view.

• Information Architecture: Designed a "Summary Card Detail Chart $\to$ Transaction Log" hierarchy. The top row provides a high-level status, the middle section displays decomposition charts, and the bottom section allows for granular, filterable data tables.

• Visual Design Principles: Focused on minimizing cognitive load by avoiding chart junk and using direct, clear visualizations. Used subtle shadows and rounded corners (Tailwind standards) for a professional, enterprise-ready aesthetic.

• Prototyping & Iteration: Built high-fidelity prototypes in React early in the process to test data binding and responsiveness with end-users, ensuring the final product delivered on performance expectations.

4. The Final Product: Data-Driven Manufacturing

The Operational Efficiency Dashboard successfully delivered a high-speed, intuitive analytics solution that provided the immediacy and data density of a commercial BI tool at a fraction of the cost. By moving OEE analysis from a retrospective calculation to a real-time feed, the application enabled production lines to achieve a measurable 8% improvement in average OEE within the first quarter of deployment. It transformed how floor teams monitor and manage equipment performance.

Interactive Dashboard: A Modern and Intuitive Data Visualization Platform - @ Google AiStudio - Live Demo

Project Overview

This project is a fully interactive, modern dashboard UI built as a responsive web application. It showcases a range of data visualization components, including KPI cards, dynamic charts, recent sales lists, and transaction tables. The design prioritizes a clean, intuitive interface to make complex data easy to understand at a glance.

My Role: UX Designer, Front-End Developer

1. The Problem: Static and Unengaging Data

Many dashboards on the web are static and lack interactivity, which hinders a user's ability to explore data and gain meaningful insights. They often present information in a rigid format, making it difficult to spot trends, filter by different criteria, or get a comprehensive view of performance. The core problem was to create a dashboard that was not just a display of numbers, but a dynamic and engaging tool for data exploration.

2. The Solution: A Seamless and Interactive Data Experience

The solution was to build a modern dashboard that puts interactivity at the forefront. Key features of the solution include:

• Dynamic Charts: The dashboard features various charts that respond to user interactions, allowing them to filter by time range or data category.

• Responsive Design: The layout fluidly adapts to different screen sizes, from desktop monitors to mobile phones, ensuring a consistent and high-quality user experience on any device.

• Real-Time Data Simulation: The components are designed to handle real-time data updates, creating a live, up-to-the-minute view of key metrics.

• Reusable Components: The dashboard is built with a modular component architecture, allowing for easy customization and reuse in future projects.

This approach transforms a passive data-viewing experience into an active and insightful one.

3. My Design Process: Focusing on Clarity and Interaction

My design process was centered on the principles of clarity and usability. I aimed to create a dashboard that was not only visually appealing but also a joy to use.

• UX Research: I conducted competitive analysis of popular dashboards and data visualization platforms. I identified common design patterns and pain points, such as cluttered layouts and a lack of clear hierarchy.

• UX Process: I focused on creating a clear information hierarchy, using a grid-based layout to organize components logically. The design uses a clean color palette and consistent typography to ensure all information is highly readable. I also focused on the micro-interactions, like hover effects and loading states, to make the experience feel polished and responsive.

• Technology Stack: The application was built using a robust and modern technology stack, including React for the component-based UI, TypeScript for type safety and maintainability, and Tailwind CSS for rapid and responsive styling.

4. The Final Product: A Benchmark for Modern Dashboards

The final product is a highly functional and visually appealing dashboard that serves as an excellent portfolio piece. It demonstrates a strong understanding of modern web technologies and a commitment to creating a user-centric design. The dashboard successfully proves that a data-heavy application can be both powerful and intuitive, transforming a user's interaction with data from a chore into a seamless and insightful experience.

Key Learnings & Outcomes:

• Simplicity is Key: The most effective dashboards are not the ones with the most features, but the ones that present information in the clearest and most straightforward way.

• Technology and Design Are One: The success of the project was a result of a strong marriage between a modern tech stack and a user-centered design approach.

• Interactivity Drives Engagement: By adding simple interactive features, the dashboard becomes a powerful tool that encourages users to explore the data, leading to a deeper understanding.

RevDeck: Real-Time Sales & eCommerce Analytics Dashboard - @ Google AiStudio - Live Demo

Project Overview

RevDeck is a high-performance, responsive SaaS and eCommerce analytics dashboard designed to transform raw business metrics into actionable revenue intelligence. Developed using React, TypeScript, and Tailwind CSS, the application replicates a modern UI prototype, focusing on speed, visual clarity, and data integrity to empower sales analysts, marketing managers, and executives.

Technology Stack: React (with TypeScript), Tailwind CSS, Recharts (Data Visualization Library), Single Page Application (SPA) Architecture 

My Role: Lead Front-End Developer, Data Visualization Architect, UI/UX Implementation Specialist

1. The Problem: Data Fragmentation and Decision Lag

The client's existing process relied on static weekly reports and siloed data sources (CRM, marketing platform, ERP), leading to several critical inefficiencies:

• Decision Lag: Insights were historical, meaning key performance indicators (KPIs) like conversion rates or inventory levels were several days old, making real-time intervention impossible.

• Siloed Views: Analysts could not easily correlate marketing spend with customer lifetime value (LTV) or instantly link campaign performance to recent order volume.

• Poor User Experience: Legacy interfaces were slow, non-responsive, and visually overwhelming, increasing the time required for decision-makers to extract value from the data.

The objective was to create a unified, real-time command center that could support rapid, data-driven revenue operations.

2. The Solution: Modular, High-Fidelity Data Visualization

RevDeck was architected as a modular component library that provides various levels of data granularity, from high-level summary cards to detailed transaction tables.

• Summary Cards for Instant KPIs: The top section features immediate, up-to-date metrics (e.g., Total Revenue, New Customers, Conversion Rate) with clear percentage change indicators, enabling executives to grasp the business health at a glance.

• Rich Charting Components: Leveraged Recharts to implement complex data visualizations, including:

  • Revenue Trend Line Charts: Visualize performance over time.

  • Geographic Sales Heatmaps: Identify regional demand centers.

  • Funnel and Cohort Analysis: Track customer drop-off and retention.

• Responsive Recent Orders Table: Implemented a highly performant and sortable table view for granular data (recent orders, customer details), ensuring the dense information remains legible and usable on various screen sizes.

• Data Integrity with TypeScript: The entire component structure was strictly typed using TypeScript to enforce a contract between the data API and the UI, eliminating common runtime errors associated with inconsistent data structures.

3. The Design Process: Prototype Replication & Utility-First Development

The design process prioritized replicating the high-fidelity UI prototype accurately while ensuring maximum performance and responsiveness.

• Component-Driven Development (CDD): We broke down the prototype into reusable components (e.g., StatCard, LineChartWrapper, DataTable), accelerating development and ensuring visual consistency across the dashboard.

• Tailwind CSS for Velocity: Tailwind's utility-first approach allowed for rapid styling and iteration, enabling the creation of complex layouts (like multi-column grids and overlapping cards) and seamless responsiveness across desktop and tablet devices without writing extensive custom CSS.

• Readability and Hierarchy: Applied color theory and font weight hierarchies to direct the user's eye, ensuring the most important metrics (e.g., negative changes or high-value figures) stood out clearly.

4. The Final Product: Accelerated Insights and ROI

The implementation of the RevDeck Dashboard successfully transitioned the client's operations from reactive reporting to proactive revenue management.

• 95% Reduction in Data Retrieval Time (Time from platform login to key insight).

• Improved Campaign Optimization: Marketing teams leveraged real-time data to adjust budget allocations mid-campaign, resulting in a 9% increase in campaign Return on Investment (ROI).

• Enhanced Forecasting Accuracy: Sales teams now have a clearer, more immediate picture of pipeline health, improving quarterly revenue forecasting accuracy by 6%.

Healthcare Dashboard: Streamlining Patient Care - @ Google AiStudio - Live Demo

Project Overview

The Healthcare Dashboard is a modern, responsive application built with React, TypeScript, and Tailwind CSS. It is designed to provide healthcare professionals with a clean and intuitive interface for showcasing key patient metrics, appointments, and overall clinic performance. This dashboard aims to simplify data analysis and improve workflow efficiency.

My Role: UX Designer, Front-End Developer, Data Visualization Specialist (as a solo project)

1. The Problem: The Challenge of Managing Complex Healthcare Data

Healthcare professionals often face a significant challenge in managing the vast amount of data associated with patient care, from appointment schedules to patient demographics and clinic performance metrics. Key pain points identified were:

• Fragmented Information: Data is often scattered across multiple systems, making it difficult to get a complete, real-time picture of a patient's status or a clinic's performance.

• Complex Interfaces: Many existing systems have outdated and cluttered interfaces, which can lead to user frustration, increased errors, and a steep learning curve for new staff.

• Lack of Actionable Insights: Without proper visualization, it is difficult to identify key trends, such as visitor volume, patient demographics, or revenue fluctuations, which are crucial for making informed operational decisions.

• Inefficient Workflow: The need to manually track appointments and patient information creates an inefficient workflow, taking valuable time away from patient care.

The core problem was to consolidate disparate data into a single, intuitive dashboard that provides a clear, actionable overview of all key healthcare metrics.

2. The Solution: A Unified, Intelligent Data Hub

The solution was to build a centralized dashboard that acts as a single source of truth for all essential healthcare data. Key features of the application include:

• Centralized Dashboard: The main screen provides a high-level overview of key metrics, including visitor counts, patient data, and total beds, presented in a clean, scannable format.

• Real-Time Data Visualization: Interactive charts show trends for visitors and revenue over time, allowing for quick analysis of clinic performance. A pie chart visualizes patient demographics by gender, providing a clear breakdown at a glance.

• Efficient Appointment Management: A dedicated panel provides a real-time view of today's appointments, including patient names and diagnoses, ensuring staff can stay on top of their schedule.

• Modern & Clean UI: The user interface is designed with a light theme and a professional color palette to create a calming and trustworthy experience. The use of clean cards and intuitive icons makes the data easy to digest.

• Seamless Navigation: The left-hand navigation panel allows for effortless switching between the dashboard, schedule, and other key sections, creating a smooth user experience.

This approach transforms complex data management into a streamlined and efficient process, enabling healthcare professionals to focus on what matters most: patient care.

3. My Design Process: Focusing on Clarity and Accessibility

My design process was centered on the principles of making complex medical data accessible and intuitive for healthcare professionals.

• User Research: I conducted informal interviews with a few healthcare professionals to understand their daily workflows and challenges. They emphasized the importance of real-time data, clear visualizations, and a simple, uncluttered interface to reduce stress and cognitive load during a busy workday.

• Information Architecture: The UI was designed to be as clear and straightforward as possible. The main screen provides a centralized dashboard of all key metrics, organized into clean, digestible cards. The layout is optimized to display the most critical information—visitor stats, patient counts, and appointments—at the very top, ensuring that professionals can get the most important data at a glance.

• Prototyping & Visual Design: The UI was designed to be both functional and beautiful. I used a calm, professional color palette with blues and greens to create a sense of trust and tranquility. The use of clean typography and consistent card styles makes the data easy to read and understand. The data visualizations, such as the line chart for visitors and the bar chart for revenue, were designed to be both informative and visually engaging, making data analysis a more intuitive process.

4. The Final Product: A New Standard for Healthcare Management

The final application is a powerful and intuitive tool that successfully addresses the limitations of traditional healthcare management systems. It is not just a data display but a complete, data-driven platform that streamlines operations and enhances the quality of care. The design prioritizes clarity, real-time insights, and a seamless user experience, making it an essential asset for any healthcare facility looking to improve its workflow and patient outcomes.

Key Learnings & Outcomes:

• Visuals Drive Efficiency: The most valuable feature of the application is its ability to provide a clean and visually appealing interface, which directly encourages consistent use and a positive user experience.

• Simplicity is Key: By focusing on a minimalist design and a clear UI, the application successfully reduces user friction and makes it easier for users to track their goals.

• Data-Driven Insights: The use of real-time data and clear visual representation of progress provides users with the immediate feedback they need to make informed decisions and optimize their operations.

This project demonstrates how a user-centered design approach can be applied to create a powerful tool that is not only a technological solution but a practical and indispensable business asset.

FX Trading Dashboard: Mastering the Market - @ Google AiStudio - Live Demo

Project Overview

The FX Trading Dashboard is a sophisticated, multi-panel financial dashboard for real-time currency trading analysis. The application features dynamic charts, up-to-the-minute market data, and integrated notifications, all in a sleek, professional interface inspired by leading trading platforms.

My Role: UX Designer, Front-End Developer, Data Visualization Specialist (as a solo project)

1. The Problem: The Complexity of Currency Trading

The foreign exchange (FX) market is fast-paced and data-intensive. Traders often struggle with an overwhelming amount of information from disparate sources, making it difficult to make informed, split-second decisions. The key pain points identified were:

• Information Overload: Traders often have to juggle multiple screens and platforms to monitor real-time prices, charts, and news, leading to cognitive fatigue and missed opportunities.

• Fragmented Experience: The lack of a single, unified platform for analysis and tracking creates a disjointed and inefficient workflow.

• Cluttered Interfaces: Many trading platforms are visually cluttered and difficult to navigate, especially for new traders. The overwhelming UI can be a significant barrier to entry.

• Delayed Insights: A lack of real-time data and automated notifications means traders can miss critical market movements, leading to financial losses.

The core problem was to create a comprehensive yet clean dashboard that consolidates all essential trading information into a single, intuitive interface.

2. The Solution: A Unified, Real-Time Command Center

The solution was to build a sophisticated dashboard that acts as a central hub for all trading activities. Key features of the application include:

• Centralized Data: The dashboard provides a high-level overview of key currency pairs with real-time buy and sell prices, presented in a clean, scannable list.

• Dynamic Visualization: Interactive charts show price movements over time, allowing traders to quickly identify trends and patterns.

• Integrated Notifications: A dedicated panel provides real-time notifications for key market events, ensuring traders never miss a critical update.

• Professional Aesthetics: The user interface is designed with a dark theme to reduce eye strain during long trading sessions. The use of clean lines, color-coded data, and a logical layout creates a professional and trustworthy experience.

• Customizable Layout: The multi-panel design allows for a flexible layout, giving users the ability to organize the information in a way that best suits their trading style.

This approach transforms a complex and fragmented trading process into a streamlined and efficient experience.

3. My Design Process: Building a Tool for the Savvy Trader

My design process was centered on the principles of making complex data digestible and providing a professional-grade user experience.

• User Research: I conducted informal interviews with experienced and aspiring traders. They expressed a strong desire for a tool that looked and felt like a professional trading platform but was simple enough to use. They emphasized the importance of real-time data, clear charts, and a dark theme to reduce eye fatigue.

• Information Architecture: The UI was designed to be as clear and straightforward as possible. The main screen provides a centralized dashboard of all key metrics, organized into a clean grid. The left panel is for currency pairs, the center is for charts, and the right panel is for notifications and reports, creating a natural flow of information.

• Prototyping & Visual Design: The UI was designed to be both functional and beautiful. I used a dark theme with a vibrant, professional color palette of blues and greens to create a high-tech feel. The use of clean lines, clear typography, and animated charts makes the data more engaging and easier to read. The overall design is minimalist and uncluttered, ensuring that the focus remains on the trading data.

4. The Final Product: A New Standard for Trading Analysis

The final application is a powerful and intuitive tool that successfully addresses the limitations of traditional trading platforms. It is not just a data display but a complete data analysis and insights platform. The design prioritizes clarity, real-time insights, and a seamless user experience, making it an essential asset for anyone looking to simplify and improve their trading activities.

Key Learnings & Outcomes:

• Visuals Drive Behavior: The most valuable feature of the application is its ability to provide a clean and visually appealing interface, which directly encourages consistent use and a positive user experience.

• Simplicity is Key: By focusing on a minimalist design and a clear UI, the application successfully reduces user friction and makes it easier for users to track their goals.

• Feedback is Motivation: The use of real-time data and clear visual representation of progress provides users with the immediate feedback they need to stay motivated and engaged.

This project demonstrates how a user-centered design approach can be applied to create a powerful tool that is not only a technological solution but a practical and indispensable business asset.