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 high quality communication and visualization. As a self-employed data scientist, I offer profound expertise with different data projects.

A few examples of services provided:

• Feasibility and quality analyses
• Formulation of data science question(s)
• Data / feature preprocessing, such as cleaning, merging, data transformations, treatment of outliers and missing values
• Visualizations and descriptive statistics to get smart business insight
• Machine learning, statistical modeling, multivariate statistics
  
• Deployment of Dashboards at cloud computing services such as AWS
  
• Data report, giving clear insight into your key questions
• Communication and regular skype or face-to-face meetings (in Geneva Area, Switzerland / France)

Please visit the e-commerce case analyses for a concrete example.

Key service values

• Goal oriented (business value)
• National and international service
• Rapid hands-on implementation
• Regular personal (skype) contact
• Clear data communication and visualization during the whole data science process.
  

Data science toolbox

Python - numpy, pandas, scikit learn, keras, matplotlib, seaborn, plotly
R - data.table, dplyr, baseplot, ggplot
Cloud computing - amazon web services (AWS)
Visualization - plotly, matplotlib, seaborn (Python), tableau
Communication - jupyter notebook, R studio
Deployment - Dash (Python), Shiny (R)
Big data - H2O.ai, spark
OS / Software - linux, docker
Various - google analytics, matlab / octave GNU

This is just a short list, of course there are many excellent tools available.
You are invited to contact me for questions: rrighart at googlemail dot com

Email: rrighart@googlemail.com