Yukie Kajita Ph.D. Biology/Ecology

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Summary

Data Analyst/Scientist with expertise in data collection, analysis, and visualization. Strong attention to detail with excellent data organization and analytical problem-solving skills. Skilled at team collaboration while working independently in remote environments. Recognized for delivering high-quality products and meeting deadlines in demanding and focused roles.

Education

Data Analytics Certificate, Univ. of North Carolina at Charlotte (December 2020)

Ph.D. in Ecology/Biology, Utah State University (August 2008)

M.S. in Agricultural Science/Entomology, Yamagata University, Japan (March 2002)

B.S. in Agricultural Science, Yamagata University, Japan (March 2000)

Technical Skills

Computer Languages: Python, SQL, JavaScript, R, SAS

Data Manipulation & Visualization: Pandas, Matplotlib, HTML, CSS, D3.js, Tableau, Excel VBA, ArcGIS, SigmaPlot

Database: PostgreSQL, SQLite, Mongo, and GitHub

Tools Used for Effective Remote Work: Video Conferencing (Skype, Zoom, Google Meet), IM (Slack), File Share (Google Drive, Dropbox, GitHub)

Language: English and Japanese

Professional Experience

Planned Career Break and Continuing Education (July 2017–Present)

Intentional pause in employment to coordinate and manage family relocation and childcare. Data Analytics and Visualization Certificate, University of North Carolina at Charlotte (Final Grade: A+)

NSF SEES Fellow & Visiting Research Assistant Professor (November 2013–July 2017)

Department of Biology, Geology, and Environmental Science, Univ. of TN at Chattanooga.

National Science Foundation Fellow: Science, Engineering, and Education in Sustainability. Performed large-scale comparative research and quantitative genetics in a global invasive species. Data Analyses with SAS and R, and Data Visualization with ArcGIS and SigmaPlot. Disseminated scientific findings at scientific meetings and in scientific journals.

Post-Doctoral Scholar (August 2008–July 2013)

Department of Entomology, Univ. of Kentucky

Conducted comparative research on defensive chemicals in insects using HPLC and GC-MS. Conducted population genetics research on invasive insects. Data Analyses with SAS and R, and Data Visualization with ArcGIS and Sigma Plot.

Contact Information