Data science service: programming, analyses and data visualization
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A data science service for smart business insight

Data science is becoming more and more important in different domains such as computer vision, e-commerce, healthcare, smart energy, business, social media, insurance, and research & development, to name a few.
Data science projects require multiple competences such as programming, statistical and analytical skills as well as project management and communication. Starting a project you would have different requirements and need to ask several questions:
  • Do you need small, large or big data, and do they exist or do they need to be collected?
  • Are the data annotated?
  • Is it anticipated that the data will be quickly growing in the nearby future?
  • Are real-time analytics needed?
  • To what degree should the analytics be automated?

A project can often be captured with the following flow-chart:
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A few examples of services provided:

  • Computer vision, e.g. image tagging.
  • Sales volume forecasting using machine learning
  • Deployment of dashboards
  • Webscraping
  • Natural language processing (NLP)
  • Sentiment analysis
If you have questions about projects or you just would like to discuss? Please feel free to contact me, I would be glad to chat!

Data science toolbox

A list of tools used in previous projects. Of course, every project is unique with its specific needs, and new innovative tools appear rapidly. Please feel free to suggest your own tools.
Activity
Tool
Analytics
Python Pandas, Numpy, Scipy, R, Matlab
Machine learning
Scikit-learn logistic regression, random forest, gradient boosting, ARIMA
Deep learning
Keras with backend TensorFlow, CNN and LSTM
Big data, databases and ETL
Spark, Dask, H2O, PostgreSQL
Visualization
Plotly, Matplotlib, Bokeh, GGplot, Seaborn
Dashboards
Python Dash, R Shiny, Klipfolio, Tableau, Grafana
Cloud
Amazon Webservices (AWS), Google Cloud Platform, Hidora
OS & software platforms
Linux, Docker, GitHub
Communication
Jupyter notebook, R Studio

Make your dashboards come true

PictureA dashboard demo, try it yourself at https://rrighart.pythonanywhere.com
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    Contact

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Images were taken from Unsplash and credits go to the following persons:
unsplash-logoMika Baumeister
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Ruthger Righart
Ferney-Voltaire
France

Email: rrighart at googlemail dot com
Tel.: 0033 (0)770071310

Immatriculation au Registre du Commerce et des Sociétés: 833 982 358 R.C.S. Bourg-en-Bresse. Greffe du Tribunal de Commerce, 32 Av Alsace Lorraine, 01011 Bourg-en-Bresse Cedex.
  • Data Science service
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