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 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. Initiating a project would mean evaluating several requirement, such as: Does your project have small, large or big data? Do you anticipate that the data are 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:

  • Sales volume forecasting using machine learning
  • Deployment of dashboards
  • Webscraping
  • Natural language processing (NLP)
  • Computer vision
  • Sentiment analysis
If you have questions about projects or you just would like to discuss, please feel free to contact me.

Make your dashboards come true

Dashboards are an excellent way to provide real-time insight in sales, stock, forecasts etc. Dashboards can be customized to your specific needs. The preparation of a dashboard takes between 2 and 8 weeks. Check for prices here.
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A dashboard demo, try it yourself at https://rrighart.pythonanywhere.com

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, Caret, Keras, AWS forecast, IBM SPSS
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, Hidora
OS & software platforms
Linux, Docker, GitHub
Communication
Jupyter notebook, R Studio
Contact form for questions or planning of first conversation and data evaluation
Email: rrighart@googlemail.com

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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
  • COVID-19 DASHBOARD
  • E-commerce
  • Blog
  • Subscribe
  • Contact
  • FRANÇAIS