• Develop data-driven insights to inform product decisions, drive business decisions and strategies• Partner with key business leaders in our internal Gen AI teams to understand requirements and shape analytical deliverables• Create user-friendly analytical tools for our product / service teams

• Data modeling, building / maintaining ETL Pipelines• Subject matter expert for business metrics and analytic strategy• Writing SQL queries, Python scripting to extract insights from multiple sources• Develop scalable and self-serve solutions to accelerate analysis and to support various product teams• Collaborate with SDMs, SDEs, PMs to gather data and business requirements, to design data logic and implement data pipelines, to translate data into analysis / metrics / dashboards for leadership and business teams• Produce digestible business intelligence / analytics and actionable insights (leveraging various viz tools)

• Data modeling, writing SQL queries, Python scripting to extract data from complicated datasets for analysis• Produce digestible business intelligence / analytics and actionable insights (leveraging various viz tools)• Collaborate with stakeholders / colleagues to drive initiatives and develop solutions to business questions• Provide coaching to new team members

• Conducted feasibility model for different solar systems• Performed data analysis and modeling• Completed market analysis, product analysis

Clean Energy / Electric Vehicle Team (2018-2020)Business App Technology Team (2017-2018)Financial Forecasting, Analysis & Modeling Team (2016-2017)IT Business Finance Team (2012-2016)Capital Recovery & Analysis Team (2011-2012)Last title held: Business Analyst, Expert• Furnished leadership team with insights, analytics and recommendations enabling effective strategic planning across different business units• Built and maintained dashboards that leadership teams rely on for making key decisions• Extracted data, identified key metrics, analyzed for insights, create visualizations using Tableau• Conducted performance analysis, root cause analysis, regression analysis, predictive analysis• Used various data-driven techniques to explore data and identify trends and patterns• Created easy-to-use tool to simulate various scenarios and help leaderships make timely informed decision• Developed models and visualizations to analyze relationships and drivers• Led Electric Operations (EO) Projects Benefits Analytics Program, provided consultation and guidance to project team, potential savings of $270M over a 5-year period • Program manager for $47M EO Technology portfolio, projects focused on keeping PG&E competitive in the rapidly changing energy environment and improving operational efficiency• Co-led Company’s Affordability initiative for EO LOB, potential savings of $300M over a 5-year period• Improved and automated monthly reporting of corporate spending to improve rigor, accuracy and efficiency in the processing of critical information, eliminating significant errors and reducing processing time from 15 to 8 business days• Collaborated cross-functionally with key stakeholders from various departments to gain insights and understand business needs