Holistic Sustainability Assessment Needed

@EightVeer

Hi there, A holistic sustainability assessment is the right starting point here, especially where environmental engineering, chemical engineering, and ESG reporting need to align into one clear view. We would map the project boundary, review the available Excel data, and produce a concise assessment that highlights material gaps, risks, and improvement priorities. We have public Freelancer review history covering AI adoption, data management and analytical engagements. If helpful, we can keep the scope focused on ESG reporting, environmental impact, or operational/process improvement depending on which outcome matters most. Best Regards, 8veer

@Aaleen110

The core of this job is deciding how to aggregate diverse environmental impact data, and the choice is between a weighted scoring model or a pure data aggregation approach, I would pick pure data aggregation because it avoids subjective weighting and presents a clearer picture of raw impact. I will build this by first defining the specific data inputs for each sustainability pillar. For energy consumption, I will use total kWh, for water usage, total liters, and for waste, total kilograms broken down by landfill, recycle, and compost. I will then use Power BI to create a series of interactive dashboards, not a single monolithic report. These dashboards will allow drill-down capabilities from aggregate figures to source data. What this brief leaves underspecified is the exact format for reporting the aggregated data. I will assume a PDF export of key summary dashboards will suffice until you tell me otherwise. My track record on here: 100% on time, 100% on budget, 5.0 across 8 reviews. What is the target audience for this sustainability assessment and what is their technical understanding of environmental data? Also, will there be a need to track historical trends or is this a point-in-time assessment? In the first day or two, I will set up the Power BI workspace, connect to your data sources, and build the foundational data models, so we can see initial data points clearly visualized.