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, no prior knowledge is required to use them. The preparation of a dashboard takes between 2 and 8 weeks. Check for prices here.
A dashboard demo, try it yourself at https://rrighart.pythonanywhere.com
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.
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). See for example e-commerce case analyses.
- Data / feature preprocessing, such as cleaning, merging, data transformations, treatment of outliers and missing values
- Webscraping, natural language processing (NLP), sentiment analysis.
- Visualizations and descriptive statistics to get smart business insight
- Machine learning, statistical modeling, multivariate statistics
- Deployment of Dashboards at cloud services such as AWS Elastic Beanstalk.
- Data report, giving clear insight into your key questions
- Communication and regular skype or face-to-face meetings (in Geneva Area, Switzerland / France)
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, Beautiful Soup, Scrapy.
R - Data.table, Dplyr, Baseplot, Ggplot
Cloud computing - Amazon Web Services (AWS), Hidora (Swiss cloud)
Visualization - Plotly, Matplotlib, Seaborn (Python), Grafana, Tableau
Dashboards - Dash (Python), Shiny (R)
Big data - PySpark, Dask, H2O.ai
OS, Platforms - Linux, Docker, GitHub
Communication - Jupyter Notebook, R studio
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
R - Data.table, Dplyr, Baseplot, Ggplot
Cloud computing - Amazon Web Services (AWS), Hidora (Swiss cloud)
Visualization - Plotly, Matplotlib, Seaborn (Python), Grafana, Tableau
Dashboards - Dash (Python), Shiny (R)
Big data - PySpark, Dask, H2O.ai
OS, Platforms - Linux, Docker, GitHub
Communication - Jupyter Notebook, R studio
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
