Advanced machine learning frameworks for industrial decarbonization, multi-tier supply chain topology modeling, and geospatial self-supervised learning.
Energy efficiency analysis in R. Comparing consumption methods using t-tests and Wilcoxon-Mann-Whitney tests to validate energy-saving strategies.
A full-stack ESG analytics platform that centralizes Environmental, Social & Governance data, computes configurable weighted ESG scores (E 40% / S 30% / G 30%), and surfaces real-time KPIs through an interactive Streamlit dashboard — powered by FastAPI, PostgreSQL, and Docker.
GreenOps is an AI-driven ESG engine for SMEs to track Scope 1, 2, and 3 emissions. It features a GHG Protocol physics engine with geofenced emission factors, MD5 cryptographic data validation, and Llama-3 powered autonomous agents for CBAM compliance and offset advisory. High-performance analytics with FPDF executive reporting.
An enterprise-grade ESG data ingestion platform with a Django multi-tenant backend and a premium React SPA. Supports heterogeneous CSV parsing (SAP, utility, travel), automated CO2e normalization, strict analyst review workflows, and compliance-ready immutable audit logging.
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