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Data Analyst with a Passion for Business Insights

Jens Vester Christiansson , København N, Danmark


Erfaring

5 - 9 år

Andre titler

quantitative researcher market researcher data analytics forretningsanalyse business analyst + 11 flere

Kompetencer

R Shiny Dashboards Rstudio Økonomisk benchmarking Power BI + 44 flere

Jeg tilbyder


Markeder

USA (Remote kun)
Storbritannien (Remote kun)
Canada (Remote kun)
Danmark
Norge (Remote kun)
Sverige (Remote kun)
Finland (Remote kun)
Litauen (Remote kun)

Links for mere

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Brancher

Konsulentydelser Elektricitet og energi Pharma / farmaceutisk Reklame og Marketing Digital markedsføring + 5 flere

Sprog

Danish
Flydende
German
God
English
Flydende

Klar til

  Mindre opgave
  Større projekt
  Fast tilknyttet/deltid
  Konsulentopgave på fuld tid

Tilgængelig

Typisk disponibel med det samme

Min joberfaring

2020 - ?   project
R Shiny Dashboards - Example: Visualizing Gapminder Foundation data
Creating +10 R Shiny dashboards with a varying degree of complexity.

One example: https://jenschristiansson.shinyapps.io/Portfolio_World_Development_bubble/
Developed an R Shiny dashboard to illustrate the general correlation over time between "GDP per capita" and "life expectancy" per country globally. The dashboard the Gapminder Foundation as a source of data. The dashboard has a plot and a table in separate panes. The plot is a bubble plot where the size of bubbles increases with the size of the population.

Each country has a bubble and the bubbles are color-coded according to which continent the country they represent are part of they are part of.

To the left is the control panel where year can be selected from 1952 to 2007, and either all continents or a specific continent can be selected.

What can be seen that many countries populations over time have a higher life expectancy and a higher GDP per Capita. This means they over time become more healthy and get a higher standard of living.

Later forecasting will show predicted values until today using the time-series data in the period 1952 to 2007 as a basis for the forecast. The cloropleth world map gives a yearly and by country comparison globally. Dependent on what variable is selected this map shows either of the variables "GPD per capita", "life expectancy" or "Population
R, Shiny, Forecasting, Data analysis and visualisation

2017 - ?   project
Autodidact R programmer, Data Analyst and Statistician
Autodidact R programmer and data analyst. Learning R, Shiny, Statistics, Data Analysis, communication, and Data Science by taking courses from e.g. Duke University; Data analysis & Presentation courses from PriceWaterhouseCoopers; as well as creating my own assignments to understand, analyze, visualize, and communicate statistics with R - to eventually become a Data Scientist and a Decision Scientist.

This is supplemented by giving speeches as a member of Toastmaster Frederiksberg since March 2020.
Another addition is learning Python and Machine Learning since July 2020.
R, Data analysis and visualisation, Shiny, Data mining, Statistics, Communication

2020 - 2020   project
Homepage Aramisinsights.com created with R
www.aramisinsights.com

Created webpage in R with Blogdown using Github as a repository and with Netlify as frontend. Also created a blog showing graphs, descriptive statistics, and frequentist statistics on the connection between alcohol and arthritis.
R, Design, Statistics, Health Data, Data Analysis, Data Visualization, Programming, Rstudio, Google analytics, Github, Data mining


Min uddannelse

2007 - 2011
Copenhagen Business School - Handelshøjskolen
kandidat, Msc. in Strategy, Organization & Leadership

2008
WHU- Otto Beisheim School of Management
Kandidat, M.Sc., Economics and Business Administration
Worked with Applied Business Excellence, Sustainability, Strategic & Leadership Consulting, Exchange Rates and International Finance, Derivatives, as well as Strategic Management of Intellectual Capital and Innovation.

2003 - 2006
Copenhagen Business School - Handelshøjskolen
Bachelor, HA-almen


Mit CV

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