Portfolio Details

Other 2026

Resume on dashboard

RMarkdown-based resume dashboard implemented in both static (flexdashboard) and interactive (Shiny) versions, allowing dynamic filtering of experience and interactive word cloud visualization.

R Studio (flex)dashboard shiny resume

Project overview

This project demonstrates how personal CV data can be repurposed as a structured dataset for interactive analytics and visualization.

It shows interactive resume dashboard built in R using flexdashboard and Shiny, enabling dynamic exploration of professional experience through time-based filtering and text mining of CV content.

Aim

To design an interactive R-based CV dashboard that demonstrates

how structured career data can be dynamically filtered by time and
analysed using text-mining techniques such as word frequency and word cloud generation.

                    Key insights
                    Static and interactive dashboards can effectively replace traditional CV formats for exploratory data presentation.
Temporal filtering enables structured interpretation of career progression.
Text mining (word frequency analysis and word clouds) can be used to summarise thematic focus of professional experience.
Shiny applications allow interactive exploration and user-driven data summarisation

                

Data

Structured data frames summarizing education, professional experience, training, projects, and skills.

Methods

Interactive timeline visualization and text mining–based word cloud generation implemented in R (flexdashboard + Shiny).

Output

View static dashboard →
View interactive dashboard →
View code on GitHub →

Analytical workflow

Data preparation

Structured datasets were created to capture education, professional experience, training activities, projects, and technical skills. Each record included relevant data such as start and end dates, organization, role, and additional descriptive information.

Dashboard design

The overall dashboard structure and user experience were planned, including the organization of content into timelines, summary tables, and visualizations.

Interactive timeline development

Timelines were generated in R to visualize career progression. Static visualizations were enhanced with Plotly to enable interactive exploration.

Text mining and word cloud generation

Textual information from the datasets was processed to calculate word frequencies, which were subsequently visualized as word clouds to highlight dominant themes and competencies.

Tabular data presentation

The underlying datasets were converted into interactive DataTables and organized into tabbed sections, allowing detailed exploration of education, experience, training, projects, and skills.

Shiny application development

The dashboard was extended into a Shiny application by introducing a sidebar with user-controlled filters. Users can dynamically select the time period of interest and define the minimum word frequency displayed in the word cloud.

Reactive programming and visualization

Custom filtering functions were implemented to update datasets based on user input. Reactive outputs were created using renderPlotly() and renderDataTable() to ensure that visualizations and tables respond automatically to filtering selections.

Deployment

The completed application was deployed to ShinyApps.io, making the interactive dashboard accessible through a web browser without requiring a local R environment.

Tools & Packages

Data preparation, interactive visualization, text mining, dashboard development, and deployment workflow were implemented in R using Flexdashboard, Shiny, Plotly, and DT.

Data preparation & text minin

tidyverse lubridate tidytext

Visualisation

ggplot2 wordcloud ggsci ggrepel

Dashboard & deployment

flexdashboard shiny plotly DT htmltools rsconnect

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