Born in Japan, grew up in America and Israel, having also lived in Germany, just returned from London, and currently residing in Tokyo. I’m quite proud to say that I am a citizen of the world!
Currently working for ACDI/VOCA, an international development NGO, as a Junior Data Scientist. For the past year-and-a-bit I have been doing work as both a reporting analyst and a software developer in R and SQL to improve ACDI/VOCA’s data pipeline and create reports/dashboards/Shiny apps to communicate how our projects worldwide are progressing.
Interested in doing data analysis/visualization with R and SQL for NGOs, charities, non-profits (#DataForGood).
I have a MSc. in Industrial-Organizational and Business Psychology from the University College London (UCL). During the MSc. my main research interests were in consumer behavior, behavioral economics, and influencing/motivating behavioral change for the public good.
My interest in R comes from my belief in the need for more reproducibility and accountability in psychological and consumer research that can be attained by using R, GitHub, and other open-source software/tools to facilitate increased transparency between researchers and the general public. My main strengths in R are in data wrangling and visualization, many examples of which you can see throughout my blog posts and my viz gallery!
Other interests/hobbys include Soccer/Football, Star Wars, and of course - Data Science!
Maintainer & co-author of the bulletchartr package.
Last summer, I gave a presentation at the TokyoR User Group on “Visualizing the World Cup with R!” - Check it out here!
Currently looking for full-time opportunities/remote work from July 2019!
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Current Location: Tokyo, Japan
- MSc Industrial-Organizational and Business Psychology: University College London, UK
- Dissertation title: “Emoji and the Implicit Association Test for Uncovering Implicit Attitudes Toward Brands and Different Race Advertisement SpokesEmoji”
- Supervisor: Dr. Dimitrios Tsivrikos
- Abstract: “The present study combines the usage of the Implicit Association Test (IAT) in consumer research with emoji, a set of graphics used increasingly throughout computer-mediated communications including marketing and advertising messages. Study 1 demonstrates that emoji can be used as the valence attributes in a simple IAT categorization task. Study 2 goes further by demonstrating the convergent validity of the IAT using emoji valence attributes with explicit attitude measures in a situation where consumers had no reason to hide their beliefs. Study 3 demonstrated the contrast between explicit and implicit measures towards advertisements featuring Black and White skin tone emoji as advertisement spokespersons (SpokesEmoji) that revealed divergent responses in Black and White respondents. Overall, the results support the usage of pleasant and unpleasant emoji as IAT valence attributes. In addition, the IAT’s ability to test consumer attitudes toward different racial spokespersons represented by emoji is a benefit to researchers in marketing and advertising, an area where the usage of emoji continues to grow.”
BA Economics: Chapman University, USA
- BA Psychology: Chapman University, USA
- Graphical visualization:
- Amazon Mechanical Turk:
- Build and manage different types of surveys and Human Intelligence Tasks (HITs)
- Integrate with Inquisit Web Application for IAT tasks
- Inquisit Lab 5:
- Coding Implicit Association Test experiments for consumer psychology research
- html + CSS (basic)
Communication and teamwork skills
- Bilingual: Japanese and English
- Work experience in a variety of cultures: Ghana, India, Germany, USA, Ireland, and Japan
- Research Analyst in a National Science Foundation project while at Chapman University
- Web Content Developer for communicating project progress and findings (as part of the OCT Group)
- Marketing and Business Development Intern at RedNight Consulting
- Youth Football (Soccer) Coach in Ghana, India, and Japan: Under-9s to Under-14s
- Volunteer Teacher in India: Reading comprehension, spelling, grammar, physical education
- Blogging about data analysis using R