Originally hired as part of the founding team at eqtble, which was acquired by Paradox in 2024 and later acquired by Workday in 2025.

At eqtble, I was responsible for building a new SaaS people analytics platform from the ground up. My work focused on shaping the data architecture behind the product — designing how HR, recruiting, performance, and engagement data would flow into the system, how it needed to be modeled, and how it would ultimately be visualized in dashboards customers rely on.

I owned much of the early data stack: creating the dbt project, developing our Snowflake pipelines, and building the foundations of the semantic layer that powered the product’s insights. Because we were an early-stage team, I worked closely with engineering, product, and customer success not only to define what data needed to look like, but also to ensure we delivered an experience that was intuitive and genuinely valuable for our customers

At WeWork, I focused on designing and building Tableau dashboards that helped teams across the organization understand performance, hiring trends, and workforce health. I worked closely with HR, recruiting, and leadership teams to make sure the dashboards reflected the metrics they cared about and were easy to use in their day-to-day decision-making.

A large part of my role involved training internal teams on how to navigate dashboards, explore the data, and get meaningful insights without needing technical support. This meant partnering with stakeholders, answering questions, running walkthroughs, and helping people feel confident using data as part of their workflow.

At DoubleVerify, I worked on the data visualization team supporting analytics for major digital media platforms. My role centered around designing dashboards and reporting experiences that made complex advertising and media-quality data easier to understand.

I collaborated closely with analysts, product managers, and engineers to shape how performance metrics were presented to clients, ensuring that the insights we delivered were both accurate and accessible.

At MQR, I worked as a data analyst supporting political polling and election research. I used Tableau to build dashboards that summarized polling trends, voter turnout patterns, and voter-likelihood model outputs in a way that researchers and strategists could quickly interpret.

My role involved turning large volumes of survey data into clear visual stories, helping the team understand how opinions were shifting and where different segments of the electorate were likely to engage. It was my first experience translating complex statistical information into visual insights that people could use to make decisions.