Senior Data Scientist, Instructor and Author

A freelance senior data scientist and No. 1 Amazon bestselling author. I help organizations find their way through the buzzword jungle of data, analytics and AI.

• Amazon Web Services (AWS)
• Big Data
• Business Intelligence (BI)
• Python
• Qlikview
• Random Forest
• SQL
• Tableau

I help organizations and individuals find their way through the buzzword jungle of data, analytics and AI. Here is how:

> Implementation: As senior data scientist with >5 years experience, I help organizations with the implementation of their data and machine learning use cases
> Trainings: I give corporate trainings about data science, machine learning and AI
>Workshop to identify data strategy: I give workshops to help companies identify an actionable data strategy to uplevel their competitiveness

> I am proficient in these tools/ languages: Python, R, SQL, Hive, Qlik, Tableau, Spark, AWS (various services), SSIS, Markdown, HTML, GIT
> I am proficient in these methdologies: Machine learning (supervised and unsupervised), object-oriented programming, relational algebra, data modelling, statistical analysis, time-series analysis, deep learning

Previous clients include among others: UNICEF, International Trade Center (UN&WTO), AT GmbH, ...
Previous industries include: Manufacturing, automotive, retail, public sector, internet and tech, industrial services

For further information visit my website: -Hyperlink entfernt- and the website of our Amazon bestselling book: -Hyperlink entfernt-

Python: Pandas, SciKit learn, boto3, BeautifulSoup, SQLAlchemy, NumPy, pytest, pytest
R: data.table, dplyr, ggplot2, odbc, caret, randomForest, glmnet
Data engineering: Hive, PySpark, SSIS
Data Viz: Tableau, Qlik, matplotlib, seaborn, ggplot2
DevOps: GitHub, Jira, Bitbucket
Version Control: GIT, Github, Gitlab
Infrastructure: AWS, all sorts of relational DBs
Markup: HTML, Markdown