HS
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Enterprise Sustainability Platform for Carbon Emissions Monitoring & ESG Reporting
Architected and developed comprehensive ESG (Environmental, Social, Governance) platform for enterprise carbon emissions tracking, reporting, and reduction strategy management. Integrated with 25+ data sources (utilities, suppliers, travel) to automate GHG Protocol-compliant reporting across Scope 1, 2, and 3 emissions. Platform serves 200+ organizations tracking 5M+ tonnes CO2e annually, enabling data-driven Net Zero strategies and regulatory compliance.
Organizations face mounting pressure from governments, investors, and consumers to track and reduce carbon emissions for ESG compliance (Net Zero 2050 commitments, CDP reporting, SEC climate disclosures). Manual emissions tracking across hundreds of facilities, suppliers, and activities is error-prone, time-consuming, and lacks real-time insights. Existing solutions are expensive enterprise software (>$100K/year) inaccessible to SMEs, or spreadsheet-based approaches that don't scale. Companies struggle to aggregate disparate data sources (energy bills, travel receipts, supply chain), apply correct emission factors, and generate audit-ready reports compliant with GHG Protocol, ISO 14064, and Canadian federal reporting requirements.
Built automated data ingestion pipeline connecting to 25+ data sources via APIs and document parsing: utility companies (electricity, natural gas), travel booking systems, fleet management, supplier databases, procurement systems
Implemented GHG Protocol-compliant calculation engine with 10,000+ emission factors database (IPCC, EPA, Environment Canada) supporting Scope 1 (direct emissions), Scope 2 (purchased energy), and Scope 3 (supply chain, business travel, waste)
Developed interactive data visualization dashboards using D3.js and Recharts: emissions by source/facility/time period, reduction trend analysis, scenario modeling for Net Zero pathways, benchmark comparisons with industry peers
Created automated reporting workflows generating compliance-ready documents: CDP Climate Change questionnaire, TCFD (Task Force on Climate-related Financial Disclosures), GRI Standards, Canadian federal GHG reporting, custom ESG investor reports with audit trails
Built reduction strategy management system with AI-powered recommendations: identify high-impact reduction opportunities, cost-benefit analysis of mitigation projects (solar, EV fleet, supplier switching), track progress against science-based targets (SBTi)
Organizations have emissions data scattered across dozens of systems (utility bills PDFs, travel expense reports, supplier spreadsheets) with inconsistent formats, units, and completeness. Manual data entry creates 30-40% error rates.
Built multi-modal data ingestion supporting APIs, CSV uploads, PDF parsing (OCR), and manual entry with validation. Implemented intelligent data mapping using NLP to recognize fields across different utility formats. Created anomaly detection algorithms flagging unusual values (e.g., electricity consumption spike) for review. Developed data quality scoring system showing completeness per emission category with recommendations for improvement.
10,000+ emission factors vary by country, fuel type, electricity grid, activity. Regulatory frameworks (GHG Protocol, ISO 14064, CDP) have strict calculation methodologies. Errors in factors or methodology invalidate entire reports for audits.
Created comprehensive emission factors database with versioning and provenance tracking (IPCC, EPA, ECCC sources). Implemented calculation engine with rules engine ensuring GHG Protocol compliance (location vs market-based for Scope 2, biogenic vs fossil CO2). Built validation layer comparing results against industry benchmarks and flagging outliers. Partnered with third-party auditors to verify calculation methodology and achieve pre-certification for audit acceptance.
Scope 3 (supply chain, business travel, products) represents 70-90% of most organizations' carbon footprint but is hardest to measure due to lack of supplier data. Estimations using spend-based factors are imprecise.
Implemented hybrid approach: activity-based data (flight miles, product units) when available, spend-based estimation as fallback. Built supplier engagement portal allowing suppliers to share actual emissions data, creating network effects as more suppliers join. Developed machine learning models improving spend-based estimates using industry averages, company size, location. Created materiality assessment tool helping prioritize which Scope 3 categories to measure precisely vs estimate.
Learned that building climate tech requires deep understanding of carbon accounting methodologies, regulatory frameworks (GHG Protocol, ISO standards), and climate science. Collaborated with carbon accounting experts and sustainability consultants throughout development. Importance of staying current with evolving regulations (SEC climate disclosures, Canadian federal reporting changes).
Discovered that raw emissions numbers don't drive behavior change—compelling visualizations do. Interactive dashboards showing emissions by source, trends over time, and peer comparisons motivated organizations to act. Scenario modeling tools visualizing path to Net Zero with different interventions (solar, EV fleet) helped executives approve investments. Investment in D3.js custom visualizations paid off significantly in user engagement.
Organizations collected emissions data but struggled identifying what to do next. Built AI recommendation engine analyzing historical data and suggesting specific actions (switch suppliers, upgrade equipment, optimize travel policies) with estimated emissions and cost impact. This 'actionable insights' layer transformed platform from reporting tool to strategic decision support system, dramatically increasing customer retention.
Direct government application - federal/provincial/municipal climate action tracking for Net Zero 2050 commitments, departmental GHG reporting to Environment Canada, facility emissions monitoring for public buildings, fleet electrification tracking, green procurement impact measurement, and public ESG transparency dashboards for citizens
"This platform transformed how we approach sustainability. We went from spending weeks in spreadsheets to having real-time emissions insights at our fingertips. The automated data connections saved our team hundreds of hours annually. Most importantly, the AI recommendations identified $500K in energy cost savings while reducing our carbon footprint by 30%. It's not just a reporting tool—it's a strategic asset driving our Net Zero journey."