I designed a cutting-edge energy management platform tailored for large corporate campuses to intelligently track, analyse, and optimise energy supply and consumption across a multi-source ecosystem. Through real-time insights, predictive analytics, and actionable recommendations, the solution enabled organisations to meet sustainability goals, reduce operational costs, and extend asset longevity by creating a smarter, greener workplace.

Large corporate campuses operate within complex energy environments characterised by:

• Diverse energy supply sources (local grid, diesel backup, PPAs, solar, net metering)

• Varying consumption patterns across departments and infrastructure

• Pressure to reduce carbon emissions and align with global ESG commitments

• High utility expenses due to inefficiencies and lack of real-time visibility

• Limited predictive capabilities leading to costly downtime and inefficiencies

The challenge was to build a centralized, intelligent system that brings clarity and control to this complexity—transforming energy from a cost center into a strategic asset.

• I was the Design lead on this product supported by designers from the partner company.

• Led end-to-end product strategy, user experience architecture, and data visualisations

• Collaborated with the product team, energy domain experts, IoT engineers, facility managers and data experts

• Partnered with facilities and sustainability teams to map user needs to platform features

• Ensured human-centric design principles for high adoption and impact

I followed a systems-thinking and data-first approach to design a holistic energy management solution.

• I mapped out the entire supply-consumption ecosystem, from source integration to load centers

• Identified user personas across operations, sustainability, and engineering functions

• Designed a real-time, modular dashboard to surface insights across time, location, and energy types

• Incorporated predictive models for demand forecasting and equipment maintenance

• Focused on actionability—not just visibility—by embedding recommendation engines for optimization

• Prototyped visualizations to convey CO₂ impact, cost efficiency, and consumption hotspots clearly

• • Data fragmentation across sensors, meters, and procurement contracts

  • High dimensionality of real-time data requiring aggregation and simplification

  • Manual data entry and consolidation across systems and disparate data sources.
  • Designing for both expert users (energy analysts) and non-technical staff (facility managers)

  • Aligning predictive analytics models with visual cues and explainable recommendations

  • Creating an interface that respects the urgency of operational decisions while supporting deep insights

I delivered a unified, intelligent Energy Management as a Service (EMaaS) platform with the following core features:

📊 Centralized Dashboard with 11 Core Modules:

• Live Energy Mix Overview (grid, solar, diesel, PPA)
• Consumption by Source and Zone (HVAC, lighting, server rooms, elevators)
• Real-time CO₂ Emission Tracker
• Predictive Maintenance Alerts
• Peak Load Forecasting & Optimization Suggestions
• Cost Efficiency Heatmap
• Off-Peak Opportunity Finder
• Energy Benchmarking Across Buildings
• Solar Generation vs. Demand Curve Overlay
• Net Metering Feedback Loop
• Recommendations Feed for operational efficiency

• • Data fragmentation across sensors, meters, and procurement contracts

  • High dimensionality of real-time data requiring aggregation and simplification

  • Designing for both expert users (energy analysts) and non-technical staff (facility managers)

  • Aligning predictive analytics models with visual cues and explainable recommendations

  • Creating an interface that respects the urgency of operational decisions while supporting deep insights

• We went from 0 to 3 customers and the design was a key differentiating factor

• 20–30% reduction in peak-hour consumption through actionable insights

• 15% increase in renewable utilization, maximizing PPA and solar output

• 20% cut in diesel generator usage by intelligently managing fallback triggers

• Reduction in CO₂ emissions equivalent to 600 tons/year

• Improved equipment health, reducing unplanned maintenance events by ~25%

• Enhanced cross-team collaboration through unified data view and aligned KPIs

The platform fundamentally shifted how energy was perceived—from a back-office expense to a core lever of performance and sustainability.