THE LITTLE STATS CO.
Dr. Amy Renelle
Data Analyst | Research Assistant | Statistics Educator
Passionate about empowering data-driven decision making, with an extensive background in data analysis and project management, and deep knowledge of statistical content and R-coding; a talented data analyst adept at analytical approaches, expertly identifying analyses to be undertaken, while presenting the output to stakeholders in an understandable, non-technical manner; shows empathic leadership, with excellent written and verbal communication, strong interpersonal skills, cross-departmental collaboration, and facilitation skills; motivated educator, patient and kind, committed to individualised, hands-on learning with memorable examples.
“Working alongside Amy this semester has shown that she is conscientious, diligent, and absolutely focused... Adaptable, dependable, and hugely capable she will be invaluable [to any team]. I sincerely hope to work alongside her in the future.”
Lecturer, Department of Statistics | The University of Auckland
Coding
R and R-studio | Git, HTML, and R-shiny
Critique
Statistical literacy | Critical evaluation
Multivariate
Principal Components Analysis | Cluster Analysis
Other Software
Basic SAS programming | SQL | PowerBI | SPSS
Tools
The Randomness Module |
Confidence Interval Applet
Modelling
GLMs | Multiple Regression | Logistic Regression Modelling
Testing
Hypothesis Testing | Confidence Intervals | ANOVA | Chi-Squared
Theory
Maximum Likelihood Estimation | Distributions | Random variables
Data Analysis
Quantitative | Qualitative | Mixed Methods | Thematic | Sentiment
Time Series
Analysis | Decomposition | Modelling | Forecasting
data collection
Questionnaire Design | Qualtrics | Sampling | Study design
Probability
Probability modelling | Conditional probability | Stochastics
Visualisations
Statistical graphics in R | Interactive graphics
Reporting
Microsoft package | Canva | Google Suite | LaTeX
Education
Constuctivism | Multisensory learning | Resource development
Mathematics
Algebra | Calculus | Functions | Limits | Differentiation | Integration
Education
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Ph.D. in Statistics | University of Auckland | 2019 – 2022
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Bachelor of Science (Honours) in Statistics | University of Auckland | 2018 | First Class Honours
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BSc in Statistics, Mathematics, and BCom in Economics | University of Auckland | 2014 – 2017
Scholarships & awards
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3MT Competition Faculty of Science Heats, Ph.D. runner-up | 2021
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Highly Commended Award at NZSA Unconference | 2020
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University of Auckland Doctoral Scholarship | 2019 – 2022
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A+ Grade for Honours Dissertation | 2018
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First in class for STATS 708 and MATH 708
Employment
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Research Assistant (Sept 2023 – Mar 2024, Sept 2022 – Dec 2022, Nov 2018 – Feb 2019)
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Teaching Fellow (Feb 2023 – Nov 2023), Lecturing Mentorship Initiative (Feb 2022 – June 2022), Graduate Teaching Assistant (July 2018 – Nov 2022)
Accomplishments
8 academic publications, 8 conference presentations, 8 seminar presentations, 3 poster presentations, 3 competition presentations, 3 Teachers' Day workshops, 2 presentation workshops, 2 Doctoral Induction Day Ph.D. Panels, Department of Statistics Ph.D. representative