Arabesque AI
Shubham Sharma is an experienced ESG Data Analyst at Arabesque since June 2022, previously serving as Deputy Manager at Development Alternatives from December 2020 to May 2022, where responsibility included managing six projects focused on technology implementation and citizen science. As a Fellow in the product development domain, Shubham worked on various projects related to water and wastewater, citizen science, and stakeholder engagement. Prior experience includes roles as a Research Analyst at Noida Testing Laboratories, a Project Associate at the National Productivity Council, and a dissertation focused on the impact of Yamuna water on plant germination at Delhi University. An internship at the Central Pollution Control Board helped develop skills in air quality monitoring. Shubham holds a Master of Science in Environmental Science from J.C. Bose University and a Bachelor of Science in Botany from Delhi University.
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Arabesque AI
A cloud-based, AI-powered service to generate and manage active, hyper-customised portfolios in minutes, Arabesque AI provides asset managers with a low-cost technology service to meet these challenges. Asset managers can integrate the service fully into their existing platforms via an API or construct active model portfolios managed via a dailydata delivery.The platform enables asset managers to generate personalised, active investment strategies at scale. Using deep learning and raw ESG and sustainability data for more than 30,000 companies from strategic partner ESG Book, Arabesque AI automates the complex and costly processes of integrating multiple financial and non-financial dimensions and preferences into portfolios.