After more than a decade in academia (CV), I'm transitioning to industry with a focus on turning complex data into actionable real-world insights. My background blends a strong foundation in data storytelling with deep expertise in statistical modeling, making insights technically sound and widely accessible.

🔍 I’m especially passionate about:

• Wrangling messy real-world data to uncover patterns and drive decisions
• Designing rigorous analyses that yield practical value
• Bridging technical precision with clear compelling communication

I'm currently building an open portfolio to showcase how my expertise translates into problem solving using industry-standard tools 🛠

While tools may differ between academia and industry, the core logic of data wrangling, modeling, and storytelling are the same.

My passion for data began in 2007 when I took on a team management role collecting survey data among retail food workers. This taught me how to build end-to-end data pipelines from raw collection to transformation and reporting, and how to maintain data integrity when working with messy human-reported inputs.^{1, 2}

I'm fluent in every stage of data preprocessing, from extraction and recoding to deduplication, imputing missing values, and merging. I've regularly wrangled unstructured data, including administrative records, survey responses and qualitative interviews, into clean datasets.

As my career progressed, I partnered with government and industry stakeholders in long-term services and supports,³ delivering forward-facing reports that informed program strategy, operations, and policy.^{4, 5} These collaborations deepened my ability to design and manage scalable data workflows^{6, 7} and to communicate clearly with diverse technical and non-technical audiences across sectors.^{8, 9}.

Over time, I developed a specialization in quantifiable quality-of-life metrics, which are equivalent to key performance indicators (KPIs).¹⁰ Along these lines, I focused on how to measure and track outcomes that matter most to people, organizations and systems.^{11, 12, 13} My contributions led to invitations to help shape international frameworks used by national statistical offices to track development goals. ¹⁴

My public-facing work has been featured in major media outlets, where I translated research findings for general audiences.¹⁵, ¹⁶, ¹⁷

To extract actionable insights, I've applied a wide range of statistical modeling techniques, including:

• linear regression
• generalized linear models (logit, logistic, hierarchical, Poisson and negative binomial)
• survival/hazard models

My deep expertise in quantitative methods is also demonstrated by my methodological summaries¹⁸ and teaching experience.

• Check out my teaching materials here.

Ultimately, the 🛠 tools are only as 💪 powerful as the 🧑‍💻 person using them. I bring rich experience in analytical thinking, research design, and data storytelling that has equipped me to solve complex problems and deliver actionable insights, no matter the tools or setting.

I’ve led projects that integrated disparate datasets to generate holistic, actionable insights. For instance, I designed and led an experimental approach to improve performance measurement for group-based interventions, combining survey data, social network analysis (SNA), and qualitative interviews and focus groups in a full-cycle evaluation^#.

🚀 US Health Profile (BRFSS 2021–2023)

• R + Tableau project visualizing chronic conditions across SES and geography
• Includes ETL pipeline, harmonized layout files, and interactive dashboards

🧪 (More coming soon)

• 📧 Email: [email protected]