Introducing Datagiant

• January 28, 2020
• 197 words
• 1 min

For the last 3 years, I've been working as a data scientist & machine learning engineer at Celonis. This was a great experience! I was involved in a diverse range of projects, and learned a lot. Now, I would like to apply these learnings to help businesses become a better version of themselves, using data. If you have a business problem that could be solved with data science, let's talk!

To give an idea of what I can help with, here is an overview of some tools/techniques that I am experienced in:

Python

• Data Science
  • jupyter
  • pandas
  • sklearn
  • xgboost/lightgbm
  • pyarrow
  • fuzzy matching
  • sqlalchemy
• Package development
  • object-ortiented programming
  • test-driven development
  • pipenv/poetry
  • sphinx/readthedocs
• Web development
  • Fastapi/Flask
  • Streamlit

Process Mining

• Celonis IBC
  • Event Collection
  • Process Analytics
  • Action Engine
  • Machine Learning Workbench
• Celonis Process mining 4
• Process knowledge
  • SAP
    • Purchase to Pay
    • Order to Cash
    • Accounts Payable
    • Accounts Receivable
  • Oracle
    • Accounts Payable
  • ServiceNow
    • Incident Management

SQL

• Postgres
• MS SQL Server
• Oracle DB
• Vertica
• SAP Hana

Web development

• HTML5/CSS
• Javascript (basic)
• Bootstrap
• Netlify
• Zola

Cloud infrastructure

• AWS
• Azure
• GCP
• Digital Ocean
• Heroku
• Hetzner

Others

• Git
• Docker
• REST APIs
• Linux command line