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Hi there, I'm Marina πŸ‘‹

  • πŸ’» Data Analyst with a background in statistics, experimental design, and biology.
  • πŸ“Š Author of 25+ scientific papers as an analyst or research designer.
  • πŸŽ“ Former university lecturer, πŸ‘©β€πŸ« taught Statistics, Data Analysis and R to diverse audiences, from students to professionals.
  • 🧠 Β Currently looking for a job in Nottingham as a Data Analyst.
  • πŸ’₯ Β Busy making the transition into industry by upskilling (Python, SQL, GCP, BigQuery, Looker, Tableau).

🧰 Tools I use:

Python, R, SQL, PostgreSQL, BigQuery, Looker, Tableau, Shiny, Git, Docker, GCP

βœ‰οΈ You can get in touch at the links below:

Marina Varfolomeeva's Projects

biostat101 icon biostat101

πŸ‘©β€πŸ« Basic Biostatistics - taught in autumn 2022; πŸ”Ž probability, distributions, hypothesis testing, t-test, binomial test, chi-squared test, contingency tables, correlation, regression, ANOVA, monparametric methods; πŸ› οΈ R, ggplot2, dplyr, pwr, MASS

data-engineering-zoomcamp-2024 icon data-engineering-zoomcamp-2024

πŸ“” Data Engineering Zoomcamp (spring 2024) by DataTalksClub - Notes, homeworks | πŸ› οΈ GCP, BigQuery, Terraform, Docker, PostgreSQL, Mage, dbt, Spark, Kafka

glmintro icon glmintro

πŸ‘©β€πŸ« Intro to R, data visualisation and linear models - taught in autumn 2017; πŸ”Ž t-test, power analysis, correlation, regression, ANOVA; πŸ› οΈ R, ggplot2, dplyr, pwr, MASS

isec_stan_course icon isec_stan_course

A 6 hour course on Stan with Dan Simpson, Vianey Leos-Barajas, and Andrew MacDonald

linmodr icon linmodr

πŸ‘©β€πŸ« Linear Models, ANOVA, and Regression Analysis with R - taught in autumn 2022; πŸ› οΈ R, basic statistics, correlation, regression, ANCOVA, ANOVA, GLM/GLMM (gaussian, poisson, binomial)

mathmethr icon mathmethr

πŸ‘©β€πŸ« Mathematical methods in Zoology - taught in autumn 2022; πŸ”Ž t-test, correlation, regression, ANOVA, LDA, PCA, nMDS, clustering; πŸ› οΈ R, ggplot2, dplyr, pwr, MASS, vegan, ape, dendextend, pvclust

multivar icon multivar

πŸ‘©β€πŸ« Analysis and Visualisation of Multivariate Data Using R - taught in spring 2022-23; πŸ”Ž nMDS, Mantel test, ANOSIM/SIMPER, PERMANOVA, clusterng, PCA, Correspondence Analysis, CCA, RDA, dbRDA; πŸ› οΈ R, vegan, ape, dendextend, pvclust, geomorph

norv-a-models icon norv-a-models

RData objects for predictive models of total hydrocarbon concentration and Shannon-Wiener diversity around the offshore oil platforms in the North Sea

proteomics icon proteomics

πŸ‘©β€πŸ« Proteomics: Applications, Methods, Data Analysis - taught in spring 2022; πŸ”Ž data preprocessing, normalisation, clustering, nMDS ordination, heatmaps, differential expression analysis; πŸ› οΈ R dendextend, ape, vegan, pvclust, gplots, NMF, limma

stepik-generation-python-1 icon stepik-generation-python-1

πŸ—οΈ Study projects from the πŸ“” "Python Generation: Course for Beginners" on Stepik | πŸ› οΈ Python, unittest

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