Hyderabad, Telangana, India
I've been with FactSet for 3.5 years since joining as a Senior Product Analyst. Throughout my tenure, I've worked extensively with a variety of technologies, including Python Pandas, Numpy, PL/SQL, Generative AI, Microsoft Copilot, JIRA,. Early in my career I Worked on transitioning the Business Description Tool from the YSEOP platform to an internally developed NLG (Natural Language Generation) solution. Responsible for ingesting and processing structured and unstructured data, conducting comprehensive quality assurance, and delivering finalized outputs to the AI team. This enabled automated generation of human-readable business descriptions, enhancing efficiency and accuracy in communicating key information. Additionally I Worked on CIK-based coverage expansion leveraging data modelling and ETL tools to optimize data workflows and enhance dataset completeness. Led efforts on the UN-SDG project, responsible for normalizing and delivering data related to Sustainable Development Goals to clients, utilizing advanced data modelling and ETL processes. Additionally, contributed to the UN-Taxonomy project by standardizing and preparing taxonomy data for clients through effective use of data modelling and ETL tools , metrics etc.
Worked on CIK-based coverage expansion leveraging data modelling and ETL tools to optimize data workflows and enhance dataset completeness. Led efforts on the UN-SDG project, responsible for normalizing and delivering data related to Sustainable Development Goals to clients, utilizing advanced data modelling and ETL processes. Additionally, contributed to the UN-Taxonomy project by standardizing and preparing taxonomy data for clients through effective use of data modelling and ETL tools. Also I worked on new feature in the Supply Chain Relationships tool that lets users see supply chain connections both at the parent company level (aggregated) and now also at the subsidiary level (more detailed). Originally, relationships were grouped under parent companies, which was useful for equity investors but too general for those needing deeper insights. With the new enhancement, clients can expand connections to view the exact subsidiaries involved, providing clearer and more precise information about company relationships and their geographical scope.
Worked on transitioning the Business Description Tool from the YSEOP platform to an internally developed NLG (Natural Language Generation) solution. Responsible for ingesting and processing structured and unstructured data, conducting comprehensive quality assurance, and delivering finalized outputs to the AI team. This enabled automated generation of human-readable business descriptions, enhancing efficiency and accuracy in communicating key information.