Shweta Kedia

Professional Summary

• AI & Data Transformation Leadership
• Collaborated across all M&A teams and processes, playing a key role in setting up and training the new research team in Hyderabad, Ahmedabad, ISB.
• Spearheaded data transformation initiatives, serving as UAT Lead for M&A and Capital Markets Transactions.
• Automation Lead and drove automation across multiple platforms, including Transaction Synopsis Automation.
• Model Building Lead for NLP-based document extraction models.
• Managed the creation of action plans, rule writing, and model building exercises, including collaboration on Machine Learning models using Expert AI Tool.
• Pioneered the development and rollout of Source Tagging Functionality for various document types, facilitating click-through capabilities via collection tool and requiring feature writing and bug resolution.
• Contributed to the ongoing LLM project, specifically focusing on prompt engineering for data extraction and external search functionalities and guiding external teams on tool usage for LLM model building.
• Quality Assurance & Operational Efficiency
• Engineered a comprehensive quality control framework, implementing and managing 2000+ distinct error checks (M&A and Capital Markets Transactions) and driving their seamless integration into the Python codebase via collaborative development.
• Led the Region Specialization Project, actively managing a team of 10 researchers to achieve a 48% positive variance in quality within three months, subsequently scaling the process organization-wide.
• Fully automated the M&A work allotment process post-region specialization, integrating SQL-based Excels and creating new KPS in CTS workflows, leading to a saving of 1 FTE per day.
• Identified and resolved governance issues, submitting periodic SQL-based discrepancy reports to maintain accurate financial reporting integrity.
• Mentoring Revamp: Created innovative and objective mentoring methodologies, including Trivia, Spot QC, and Daily RCA Connect, and proposed a detailed Mentor-Mentee Program to streamline accountability for new joiners.
• Training & Development: Redefined the training process and documents for complex data (e.g., Spinoffs, Non-English Process) and conducted in-depth Advisory Process Training and Induction Training for new researchers.
• Process Governance & Project Management
• Led a team of 4-5 UAT members, providing guidance, mentoring, conducting detailed Root Cause Analysis, and driving rapid issue fixes to ensure continuous quality improvement.
• Onboarding and integrating new transaction types related to new datasets post-acquisition of organizations like Kensho Technologies and SNL, IHS into S&P CIQ platform, leading UAT efforts and ensuring a robust quality control framework was embedded.
• Organized team-building activities and fostered a collaborative, high-performance culture.
• Received multiple awards for quality, innovation, and leadership, including Sourcing Star and R&R monthly awards.

• Research Associate (Grade 1) M&A Data & Transformation June 2007 – October 2008
• Research Associate (Grade 2) M&A Data & Transformation November 2008 – September 2009
• Senior Research Associate (Grade 2) M&A Data & Transformation October 2009– February 2012
• Lead Data Analyst, M&A Data & Transformation March 2012 – September 2025
• Data Specialist, DATA AI Ops October 2025 – Till Date

• Managed online trading for commodities and bullion (NCDEX & MCX) and performed margin/MTM calculation and verification of outstanding positions.
• Prepared and analyzed analytical MI reports on trends in carry over (Badla) and profitability of open positions, utilizing software like Reuters and Bloomberg.
• Analyzed profitability of open, long/short, and spread positions across futures markets.