Abhishek Kulshrestha

Academic Center of Sustainable Business, University of Pittsburgh

Abhishek has a strong foundation in financial modeling, sustainability, and Business Analysis. He has comprehensive training in financial and valuation modeling, through which Abhishek has built intricate financial models, conducted detailed financial statement analysis, and developed budgeting and forecasting strategies. His skill set includes advanced methodologies for investment management, corporate finance, and capital project evaluation, enabling organizations to make informed investment decisions and enhance their financial health.

Abhishek is also a sustainability professional having led initiatives to integrate sustainability and ESG principles into core business operations. He has developed lifecycle assessments and created financial models for sustainability reporting. His experience includes establishing carbon emission baselines, optimizing supply chains, and using supply chain analytics to promote sustainable practices. Additionally, he collaborates across functions to align sustainability goals with financial outcomes, facilitating a transition towards a more resilient and environmentally responsible business model.

Abhishek’s technical expertise spans advanced data analytics tools such-as Python, SQL, R, Tableau, Power BI, and IBM SPSS to transform raw data into actionable insights. He has developed and maintained dashboards for corporate sustainability reporting and delivered real-time analytics, empowering strategic business decisions that enhance operational efficiency and strengthen stakeholder engagement.

Main Conference Day 2 - October 9, 2025

8:10 AM Developing a Predictive Emissions Platform to Forecast and Optimize Emissions Reduction Projects

Creating a predictive emissions platform using extensive data sets and AI-driven forecasts is crucial for identifying efficient, low-CAPEX emission reduction projects. In this session, based on his recent work with a natural gas operator, Abhishek will provide a step-by-step guide to building a predictive emissions model, emphasizing an evidence-based approach to emissions management.  

  • Delve into the steps taken, key considerations, and challenges encountered during the development of a predictive emissions platform 
  • Learn the importance of integrating technical and economic metrics into your model to determine which projects offer the best return on investment (ROI) 
  • Examine the unique factors to consider when incorporating value chain data into the platform to ensure accurate predictions