Position: Data Scientist & Big Data Engineer
Category: Python
English level: fluent
Years of experience: 4

creation of end-to-end data pipelines in on-premises as well as in cloud environment
build maintainable, scalable and efficient ETL solutions for different business cases using relational SQL databases as well as distributed cloud solutions (Spark, Databricks, Azure Blob Storage, Azure Data Factory etc.)

apply statistical and machine learning techniques using Tensorflow, Keras, Scikitlearn, Scipy etc

Projects that I have been working on belong to the following areas:
* Fraud detection on top of the General Ledger (Accounting)
* Transition of Applications to Azure Cloud  (Finance)
* OCR/Computer Vision (Accounting)
* Development of Customer Life Time Value algorithms (eCommerce)
* Valuation of derivatives (Banking)