Thanks for stopping by!
I work as a data professional at Wallick Communities, where I build products that turn data into actionable insights.
I have a Master’s in applied statistics and I’m interested in data science, machine learning, and AI. My study and work have given me a strong foundation in data analysis, statistical modeling, and machine learning, and I enjoy exploring the ways these tools can be applied to challengingreal-world problems.
I enjoy building descriptive reporting and analysis; The specific areas of predictive analytics that I’m interested and experienced in include predictive modeling, longitudinal analysis, survival analysis, joint modeling of longitudinal and time-to-event data, Bayesian methods, deep learning, time series, and survey analysis. I’m also interested in experimental design, causal inference, and A/B testing for prescriptive analytics.
Tools I use include Python, R, Power BI (DAX), and SQL. I’m also interested in learning more about cloud computing and AI technologies.
To see my learnings and projects on this site, so feel free to check out my blog and projects.
Get in touch by sending me a note!
About me
Reports and analytics by day, Python learner by night.
My day-to-day involves working with operational data — pulling it together, modeling it, and packaging it into reports and dashboards that help teams make decisions. I enjoy the slow craft of turning messy data into something legible.
- Data Scientist ∙ Wallick Communities