About #
Broadly, I’m an interdisciplinary data scientist with special interests in psycholinguistics, computational linguistics, statistics, and Japanese. More specifically, I apply statistical and natural language processing techniques to solve problems and enrich my and my team’s understanding of whatever data is at hand. I bring a strong statistical background to my work, whether in the form of data handling, ad-hoc statistical analyses, or machine learning applications.
Skills / Stack #
| Statistics | python, R, julia, hypothesis testing, bayesian modeling, GLM/SEM/MLM, MCMC methods | [●●●●●●●●○○] |
| Data Analysis | python, R, pandas, numpy, tidyverse | [●●●●●●●●○○] |
| Machine Learning | scikit-learn, tensorflow, (un)supervised learning, clustering, generative models, RAG, prompt engineering, NLP, embedding methods | [●●●●●●●○○○] |
| Data Reporting | static & interactive reports, dashboards, data visualization, matplotlib, plotly, LookerStudio | [●●●●●●○○○○] |
| Data Management | data cleaning, data collection, (No)SQL, BigQuery | [●●●●●○○○○○] |
| Knowledge Management | document processing, ontologies, knowledge graphs | [●●●●○○○○○○] |
In addition to the above data science skills, I’ve also got: #
| Research | research/experimental design, scientific writing, technical reporting | [●●●●●●●●○○] |
| Conversational Design | Google CCAI/Dialogflow, NLU, chatbot integration | [●●●●●●○○○○] |
| Misc Programming | go, ruby, linux, git & its myriad hosting services | [●●●●●○○○○○] |
| Japanese | immersion, teaching, professional communication | [●●●●●○○○○○] |
| Cloud Platforms | Google Cloud Platform, Azure | [●●●○○○○○○○] |
Interests #
| Speech Processing | speech intelligibility, phonology, emotional word characteristics |
| Bilingualism | language acquisition, L2 phoneme processing |
| Natural Language Processing | word & sentence embedding, unsupervised learning, document classification |
| Statistical Methods | Bayesian modeling, MCMC simulation, clustering |