Build Resumes with R

Using a database, LaTeX and R easily build attractive resumes.


resumer

This package stores information for your CV in a CSV and compiles a nicely formatted LaTeX CV.

Your jobs should be stored in a CSV with these names: JobName, Company, Location, Title, Start, End, Bullet, BulletName, Type, Description.

An example file can be found in inst/examples/Jobs.csv or by running

data(jobs)
head(jobs)
JobNameCompanyLocationTitleStartEndBulletBulletNameTypeDescription
Tech StartupPied PiperNew York, NYCTO2013PresentSet up company's computing platform1Job
Tech StartupPied PiperNew York, NYCTO2013PresentDesigned data strategy overseeing many datasources2Job
Tech StartupPied PiperNew York, NYCTO2013PresentConstructed statistical models for predictive analytics of big data3Job
Large BankGoliath National BankNew York, NYQuant20112013Built quantitative models for derivatives trades1Job
Large BankGoliath National BankNew York, NYQuant20112013Wrote algorithms using the R statistical programming language2Job
Bank InternGoliath National BankNew York, NYIntern2010Got coffee for senior staff1Job

A helper function, createJobFile, creates a CSV with the correct headers.

Each row represents a detail about a job. So a job may take multiple rows.

The columns are:

  • JobName: Name identifying this job. This is identifying information used when selecting which jobs to display.
  • Company: Name of company.
  • Location: Physical location of job.
  • Title: Title held at job.
  • Start: Start date of job, usually represented by a year.
  • End: End date of job. This would ordinarily by a year, 'Present' or blank.
  • Bullet: The detail about the job.
  • BulletName: Identifier for this detail, used when selecting which details to display.
  • Type: Should be either Job or Research.
  • Description: Used for a quick blurb about research roles.

In order to make this package as universal as possible it is designed for some information to be input in the yaml header and some in R code. Creating a new file using the template through RStudio will be easiest. Here you put your name, address, the location of the jobs CSV, education information and any highlights. Remember, proper indenting is required for yaml.

The name and address fields are self explanatory. output takes the form of package::function which for this package is resumer::resumer.

The location of the jobs CSV is specified in the JobFile slot of the params entry. This should be the absolute path to the CSV.

These would look like this.

---
name: "Generic Name"
address: "New York"
output: resumer::resumer
params:
    JobFile: "examples/jobs.csv"
---

Supplying education information is done as a list in the education entry, with each school containing slots for school, dates and optionally notes. Each slot of the list is started with a -. The notes slot starts with a | and each line (except the last line) must end with two spaces.

For example:

---
education:
-   school: "Hudson University"
    dates: "2007--2009"
    notes: |
        GPA 3.955  
        Master of Arts in Statistics
-   school: "Smallville College"
    dates: "2000--2004"
    notes: |
        Cumulative GPA 3.838 Summa Cum Laude, Honors in Mathematics  
        Bachelor of Science in Mathematics, Journalism Minor  
        The Wayne Award for Excellence in Mathematics  
        Member of Pi Mu Epsilon, a national honorary mathematics society
---

Providing a highlights section and confirming that they should be displayed with `doHighlights.

Each bullet in the highlights entry should be a list slot started by -. For example.

---
doHighlights: yes
highlights:
-   bullet: Author of \emph{Pulitzer Prize} winning article
-   bullet: Organizer of \textbf{Glasses and Cowl} Meetup
-   bullet: Analyzed global survey by the \textbf{Surveyors Inc}
-   bullet: Professor of Journalism at \textbf{Hudson University}
-   bullet: Thesis on \textbf{Facial Recognition Errors}
-   bullet: Served as reporter in \textbf{Vientiane, Laos}
---

The exact structure of the yaml section will change as tweaks are made to the underlying template.

Jobs and details are selected for display by building a list of lists named jobList. Each inner list represents a job and should have three unnamed elements: - CompanyName - JobName - Vector of BulletNames

An example is:

jobList <- list(
    list("Pied Piper", "Tech Startup", c(1, 3)),
    list("Goliath National Bank", "Large Bank", 1:2),
    list("Goliath National Bank", "Bank Intern", 1:3),
    list("Surveyors Inc", "Survery Stats", 1:2),
    list("Daily Planet", "Reporting", 2:4),
    list("Hudson University", "Professor", c(1, 3:4)),
    list("Hooli", "Coding Intern", c(1:3))
)

Research is specified similarly in researchList.

# generate a list of lists of research that list the company name, job name and bullet
researchList <- list(
    list("Hudson University", "Oddie Research", 4:5),
    list("Daily Planet", "Winning Article", 2)
)

The job file is read into the jobs variable using read.csv2.

library(resumer)
jobs <- read.csv2(params$JobFile, header=TRUE, sep=',', stringsAsFactors=FALSE)

The jobs and details are written to LaTeX using a code chunk with results='asis'.

Same with research details.

Regular LaTeX code can be used, such as in specifying an athletics section. Note that this uses a special rSection environment.

\begin{rSection}{Athletics}
\textbf{Ice Hockey} \emph{Goaltender} | \textbf{Hudson University} | 2000--2004 \\
\textbf{Curling} \emph{Vice Skip} | \textbf{Hudson University} | 2000--2004
\end{rSection}

News

Updated tests to account for latest version of rmakrdown

Fixed default parameter for location of example jobs file

  • First build
  • Allows creation of resumes using markdown yaml, LaTex and R

Reference manual

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install.packages("resumer")

0.0.3 by Jared Lander, 8 months ago


https://github.com/jaredlander/resumer


Report a bug at https://github.com/jaredlander/resumer/issues


Browse source code at https://github.com/cran/resumer


Authors: Jared Lander [aut, cre]


Documentation:   PDF Manual  


Task views: Reproducible Research


BSD_3_clause + file LICENSE license


Imports useful, dplyr, rmarkdown

Suggests testthat


See at CRAN