Connor H.

Data Scientist & Analyst | A/B Testing, ML

I’m a new UT Austin graduate with hands-on experience using data science and statistical modeling to provide written actionable insights, recommend policy changes, and publish peer-reviewed research. I'm an excellent communicator, an eager learner, I love a challenge, and I'm dedicated to vigorous improvement through rapid iteration. I'm passionate about using data science and machine learning together with expert human judgement to generate innovative recommendations, actionable insights, and analyze causal relationships to find solutions that transform. Machine learning and statistical analysis expertise can be validated through my independent projects, found on my Github, and through my thesis available at the Stanford Economic Review. Education and Certifications: Bachelors degrees from The University of Texas at Austin with majors in Economics (w/ special honors), Mathematics and Government, with additional certifications in Applied Statistical Modelling, Business Spanish, and Core Texts and Ideas (UT Jefferson Scholar Program). Expertise: • Applied statistical modeling • Data visualization • A/B testing • Regression analysis • Causal inference methodologies • Machine learning • Game theory • Processing big data • Data wrangling • Economics and public policy research • Expert communication and writing for technical and non-technical audiences • Collaborative team research projects • Focused and results oriented: consistent ability to deliver by the deadline. Tech: R (data.table, ggplot2, tidyverse, Rmarkdown, stringr, stats, infer) Python (Matplotlib, pandas, seaborn,) SQL, Stata, Microsoft Excel, and ArcGIS

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  • Logistic Regression
  • Visualization
  • Game Theory
  • Matplotlib
  • Test Results & Analysis