Krishna More

● Led development and execution of 5+ GxP IT projects, ensuring 98% adherence to defined scope, budget, and timelines by collaborating with Validation, QA, Business teams, and external vendors/ implementation partners ● Spearheaded vendor negotiations (RFP), market research and implemented AI-driven timesheet management and resource capacity planning tool in partnership with Enterprise Analytics (EA) and Finance teams, resulting in 15% reduction in operational costs and enhanced analytics and reporting capabilities ● Improved decision-making and collaboration by 20% by developing and automating 5+ executive dashboards using Smartsheet, Tableau, Anaplan, Snowflake, and Jira, providing real-time visibility into financial and operational KPIs for 100+ portfolio projects to C-suite stakeholders ● Increased process efficiency by 20% by leading strategic upgrade of Global Business Services Playbook, now used by PMO managers and teams to standardize project execution across 150+ GxP and Non-GxP projects ● Ensured FDA compliance and drove project progress for $18M Capital Investment Salesforce CRM implementation, overseeing critical documentation (URS, FRS, FDD), tracking milestones, mitigating risks, and providing leadership with key performance metrics, while ensuring project remained under budget

● Collaborated cross-functionally with engineering, design, marketing, and sales teams to customize device UI and engaged with end-users to enhance usage for over 95% of 5000+ users ● Implemented customer-success communication strategies by leveraging customer feedback and conducting focus group sessions, leading to a 15% improvement in overall customer experience and a 10% increase in upsell opportunities ● Guided online training on proprietary software, resulting in 70% increase in usage and 25% reduction in support tickets

● Led the end-to-end development and launch of Machine Learning Application and collaborated with cross-functional teams to execute AI initiatives seamlessly. ● Conducted market research and competitive analysis to identify AI opportunities, define product requirements, and prioritize features based on customer feedback, data insights, and business objectives. ● Managed product development processes, including planning, scheduling, and budgeting, utilizing machine learning and data analysis tools to gather insights and inform decision-making. ● Developed up-to-date product documentation and training materials, staying informed about emerging AI technologies and industry trends while collaborating with sales and customer success teams to ensure customer satisfaction and adoption of AI products. ● Collaborate with data science and machine learning teams for product development leveraging data models and technologies. ● Identify and implement appropriate tools and technologies to support product development. ● Analyze product performance and usage data for improvement and identify trends and patterns. ● Manage the product development process, prioritize features, and stay informed about emerging technologies and industry trends.

● Conducted research on NLP models and assisted in designing experiments to evaluate their performance. ● Analyzed and interpreted experimental results to contribute to writing research papers and publications for scientific conferences and journals. ● Collaborated with senior researchers and team members to develop and improve NLP models and stay up-to-date with advancements in NLP research and technologies. ● Managed and maintained research documentation, data, and software tools and participated in meetings, presentations, and discussions to provide updates on research progress.