Shivani Jadon

• AI-Powered Market Insights: Designed and implemented an AI/NLP assistant leveraging large language models (LLMs) for conversational analytics and automated insight generation, reducing reporting turnaround from four weeks to real time, and empowering over 200 users globally.
• Customer Development and Finance Analytics: Created an AI-augmented KPI framework unifying sales and finance data (revenue, ROI, profitability, working capital). Delivered 300+ Power BI/Tableau dashboards with ML-based forecasting, strengthening strategic planning, and performance visibility.
• Unmissable Brand Superiority (UBS) Automation: Led automation initiatives, achieving 90% process efficiency (vs. 80% target); automated 70K+ records, saving 900+ working days annually, while improving accuracy and decision speed.
• Social Business Analytics & Insights: Developed social, e-commerce, and sentiment analytics pipelines using Azure and Python NLP to monitor brand health and campaign ROI in near real time, enabling faster market response.
• Cloud Modernization & Governance: Directed the migration from AWS to Azure, integrating AI and LLM services for scalable, high-performance analytics delivery. Defined enterprise standards for KPI definitions, data lineage, and responsible AI governance.
• Leadership and Enablement: Led GenAI adoption initiatives using Databricks Genie, enabling teams to apply large language models for conversational analytics, automated reporting, and faster insight generation. Mentored analysts and engineers on automation-first design, and data storytelling.

Led end-to-end data engineering and analytics initiatives supporting asset performance management across a $16B business portfolio of over 80K power plants and equipment assets. Delivered scalable data solutions, enabling enterprise-level insights, governance, and operational efficiency.

• Spearheaded data integration and analytics delivery for GE’s largest merger and acquisition (Alstom)—migrating data from multiple legacy systems, and ensuring seamless alignment across 10K+ users.
• Designed and implemented real-time data pipelines (ETL/ELT) across diverse platforms (Talend, Hadoop, HVR, Python, AWS, Greenplum, PostgreSQL) to populate the GE Power Datalake, enhancing data accessibility and reliability.
• Directed cloud migration from on-premises to AWS, modernizing infrastructure for cost efficiency, scalability, and performance optimization.
• Built a robust data governance and MDM framework, improving data transparency, consistency, and usability for analytics-driven business outcomes.
• Partnered with global business teams to identify critical KPIs and automate reporting processes through Tableau-based analytical dashboards, driving strategic planning and performance management.
• Drove data quality, metadata, and compliance standards, ensuring adherence to governance policies, and improving decision confidence.
• Collaborated with cross-functional teams using Agile methodology; served as Scrum Master to ensure the delivery of prioritized analytics use cases, and continuous process improvement.

• Developed Informatica / SQL workflows for marketing analytics; automated ingestion and ETL, reducing manual effort by 25%.
• Partnered with business stakeholders to translate analytical needs into technical solutions.

• Built and optimized ETL / SQL processes supporting data migration and reporting.
• Automated recurring data workflows, improving accuracy and turnaround.