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Jonas Cristens

Jonas Cristens

Data Science Developer

Data scientist at Delen Private Bank.

Jonas Cristens is a data scientist with experience working at top Belgian companies across banking and IT consultancy sectors. At Delen Private Bank, he has analyzed customer behavior and financial transactions using machine learning. He also worked as an ETL developer and data scientist at Exellys, where he automated financial reporting for a national bank and built a data quality framework along with multiple dashboards. His software skills include IBM DB2, Microsoft SQL Server, Microsoft Power BI, Python, SQL, CentOS, Linux, Apache Spark, TensorFlow, Hadoop, among others.

Data Science
Data Engineering
SQL
Data Warehousing
Python
Tableau
Linux
Microsoft SQL SSAS
PowerBI
CentOS
Hadoop
SAS Visual Analytics
Data Integration
Apache Spark
TensorFlow
Data Visualization
Data Mining & Management
Jonas Cristens

Jonas Cristens

Data scientist at Delen Private Bank.

Data Science Developer

Jonas is Available for Projects

Work with Jonas

Employment Highlights

Data Scientist

Delen Private Bank

August 2020 - Present (1 year 1 month)

Data Scientist

Exellys

September 2019 - July 2020 (10 months)

ETL Developer

Exellys

August 2017 - August 2018 (1 year)

Education Highlights

Master's Degree, Big Data Solution (Data Science)

Barcelona Technology School

January 2018 - December 2019 (1 year 11 months)

Master's Degree, Big Data Solution (Data Science)

University of Barcelona (UB)

January 2018 - December 2019 (1 year 11 months)

Bachelor's Degree, Information Management & Security

Thomas More-hogeschool

September 2014 - June 2017 (2 years 9 months)

Resume

Data Scientist

Delen Private Bank

August 2020 - Present (1 year 1 month)

Delen Private Bank is a family-run wealth management firm specialized in asset management. 

  • Selected features, built and optimized classifiers using machine learning techniques.
  • Performed data mining using state-of-the-art methods.
  • Enhanced data collection procedures to include information that is relevant for building analytic systems.
  • Created automated anomaly detection systems and constant tracking of its performance.

Data Scientist

Exellys

September 2019 - July 2020 (10 months)

Exellys is a tech talent incubator that matches companies with finest tech talents.

  • Identified valuable data sources and automate collection processes.
  • Undertook preprocessing of structured and unstructured data.
  • Built predictive models and machine-learning algorithms.
  • Combined models through ensemble modeling.
  • Presented information using data visualization techniques.

ETL Developer

Exellys

August 2017 - August 2018 (1 year)

Exellys is a tech talent incubator that matches companies with finest tech talents.

  • Automated Solvency II (EU-wide insurance regulatory regime) reporting.
  • Implemented a generic data quality framework.
  • In charge of 50% faster corrupt input data detection in Solvency II (EU-wide insurance regulatory regime).
  • Reduced the development time of a new data quality rule by approximately 60%.
  • Developed new documentation framework, reducing paperwork by approximately 25%.

Education

Master's Degree, Big Data Solution (Data Science)

Barcelona Technology School

January 2018 - December 2019 (1 year 11 months)

Master's Degree, Big Data Solution (Data Science)

University of Barcelona (UB)

January 2018 - December 2019 (1 year 11 months)

Bachelor's Degree, Information Management & Security

Thomas More-hogeschool

September 2014 - June 2017 (2 years 9 months)