Leading the Analytics Engineering team at Tala to build data infrastructure to support analytics needs.• Developing efficient data warehouses with performant data models • Implementing robust data observability & governance policies to ensure data is secure & trustworthy• Building data catalogs to preserve definitions, documentation & data sources to improve self-service & data literacy

As the first hire on the data team, built the foundational relational databases and data views using PostgreSQL and Tableau• Trained peers on working with our data to enable self-serve analytics• Automated processes and built real-time data feed to save time & empower colleagues • Presented weekly insights & recommendations to leadership

As the first data hire at a small, ambitious startup, I wore many hats to address diverse stakeholder request• Performed analyses to inform growth & marketing strategies• Developed KPIs and reports to track company performance• Designed experiments (e.g., A/B tests) & built statistical models to inform business decisions

● Co-President & Senior Advisor at UCLA IDEAL Leaders Association AND Increased membership base by 120% through networking with other professional societies and organizing Resume Workshops● Created weekly curricula and invite Career Center professionals to train members’ leadership, public speaking and interview skills● Presided a team of 15 board members to organize the 5th Annual Bruin Speech Contest with over 40 participants and 6 judges

● Assisted CEO with a stakeholder presentation by constructing a business proposal for $6 million grant from the Wayne and Gladys Valley Foundation for relocating all programs to Alameda County and initiating a new Child Trauma Center● Utilized Excel, SurveyMonkey and Salesforce to identify areas for improvement, such as adding call center shifts during peak hours● Built a linear regression model based on market research for a compensation project to re-estimate the total compensation of each position by awarding points to those positions based on different responsibilities and using those points to predict salary ranges● Managed client relationship and delivered service by addressing phone and in-person inquiries, reduced 20% waiting time