Faiz Khan

Background

About Faiz Khan

With over 3 years of experience in ESG research and data analysis, I specialize in transforming complex sustainability data into actionable insights aligned with SFDR, EU-Taxonomy, and other global frameworks. I’ve worked across high-impact projects, combining regulatory knowledge, analytical thinking, and a passion for sustainable change. What I Bring Proven expertise in ESG data annotation, analysis, and quality review, hands on experience on calculating energy performances of the buildings based on their utility consumption and GHG performances based on given Data sets. Strong alignment with global standards: GRI, SASB, TCFD, PRI, SDGs Technical proficiency in Bloomberg Terminal (FA ESG, CSCS, RELS), Cognize, GD3, and JIRA Experience training LLM models and building evidence-backed ESG datasets Key Achievements Trained ESG-focused LLM using annotated examples per indicator, improving automation in reporting Contributed to SFDR and EU-Taxonomy-aligned ESG research with a focus on accuracy and documentation Supported Bloomberg’s high-priority client workflows for ESG data validation and regulatory alignment Enhanced data quality through internal review processes and gig work for special industry sectors Beyond the Numbers To me, ESG is more than just reporting—it’s a way to influence systems and shape a better future. I value collaboration, learning, and the opportunity to make a meaningful impact through data and strategy. Let’s Connect I’m open to new opportunities, knowledge sharing, and building connections in the ESG and sustainability space. Email: faizkhan1598@gmail.com