Vaishnavi Chilumuru

· Proficiently worked with Multimodal Data Processing diverse data types, including text, speech, and other formats, to ensure comprehensive data processing.

· Delivering high-quality of labelled data, leveraging guidelines to meet specific key performance indicators, and using in-house tools and software.

· Demonstrated ownership and initiative by providing valuable feedback to enhance existing tooling, aiming to improve data quantity and quality. Contributed to innovation and process improvements.

· Maintained strict confidentiality, adhering to all applicable Amazon policies for securing confidential information, and ensuring data integrity and security.

• Collaborate closely with Truist Bank to enhance Truist Bank's TCFD and CSR reports, aligning them with industry standards and regulations to advance their ESG initiatives.

• Utilize advanced Python machine learning techniques and Natural Language Processing (NLP) to analyze reports from various regional and local banks, extracting valuable insights and trends.

• Developed a custom code using OpenAI's question-and-answer technique, leveraging GPT-3.5-Turbo and GPT-4 models, to automate the analysis of multiple reports efficiently.

• Perform sentiment analysis on report data to gauge public perception and sentiment around sustainability and financial

disclosures.

• Conduct regular presentations to the Truist team, providing weekly updates on the analysis process, insights gained, and recommendations for improvements.

· Leveraged SQL, Excel, and in-house database systems to extract, analyze, and present data to both internal and external stakeholders. Created weekly narratives and presented findings, enabling informed decision-making.

· Led initiatives to re-engineer business processes, identifying root causes of defects and driving significant efficiency

improvements in Amazon's transportation operations

· Maintained continual, tactical communication with carriers, vendors, and internal teams, ensuring alignment with critical business needs and facilitating issue resolution

· Developed performance metrics, scoping business, and functional requirements for software enhancements. Made data-driven decisions by quickly assessing the business impact of trends, contributing to improved operational efficiency

· Processed purchase requisitions and supplier setups.

· Handled email inquiries from internal and external vendors, delivering professional and high-quality service.

· Provided periodic updates on the status of raised tickets/issues.

· Analyzed monthly attendance reports of employees using SQL server.