Summary
Overview
Work History
Education
Skills
Languages
Further Learnings
Certification
Timeline
Generic
Andreas Schleicher

Andreas Schleicher

Planegg

Summary

Data Scientist with a background in predictive modeling, machine learning, and exploratory data analysis. Skilled in utilizing Python and statistical techniques to extract actionable insights and design scalable data solutions, always meeting project deadlines and budget targets. Experienced (>12 years) in project work with cross-functional international collaboration, innovative product development and driving data-based decisions in the banking, telecom and insurance industries. Multilingual (DE, EN, RU, IT) professional with a passion for solving complex challenges and learning new cutting-edge technologies, quickly adapting to this rapidly changing area.

Overview

13
13
years of professional experience
1
1
Certification

Work History

Data Scientist / Data Modeller / Analysis Consultant

Experian GmbH (Information Services / Consulting / Credit Bureau)
10.2012 - 10.2024
  • Conducted exploratory data analysis and developed predictive systems (scorecards, ML models) for banking and telecom clients, ensuring accuracy and compliance with industry standards, leveraging Python and advanced data science methodologies.
  • Initiated innovative solutions such as Web Data Scoring (Text Analysis on web-scraped data) and Collections Audio Data Scoring, integrating unstructured data into predictive analytics to boost the discriminatory power of existing customer's models up to 20%.
  • Collaborated with international stakeholders to deliver insights and improve decision-making in the banking, telecom, and insurance sectors using bureau data.
  • Tested machine learning models for various targets, including fraud, customer churn, propensity and cross- & up-selling on diverse data sources.
  • Carried out research and development for ESG scoring models using text extraction and analysis from diverse sources (e.g., PDFs, news data).
  • Delivered a damage prediction model for property insurance clients, transforming unstructured invoice data into predictive features.
  • Supported with information/expertise on Data Science topics internally and externally, across EMEA countries.
  • Collaborated with internal teams of technical and non-technical employees and external stakeholders (business travel and highly appreciated on-site work) to deliver actionable results.
  • Supported colleagues in pre-sales both, internally and during client meetings.

Group Risk Management Employee

Deutsche Börse Group
12.2011 - 09.2012
  • Worked on a database migration project for operational risk data (Basel II, AMA).
  • Actively tested the new interface for data accuracy and functional integrity.

Education

Mathematics (diploma) -

University of Cologne
09.2011

Physics - undefined

University of Cologne
09.2003

Skills

  • Data Analytics & Visualization
  • Advanced Statistics
  • Mathematics
  • Python programming
  • Machine learning
  • SQL databases
  • Statistical analysis
  • Scikit-learn
  • Natural language processing
  • Big data analytics
  • Feature engineering
  • Data mining
  • Anomaly detection
  • SAS programming

Languages

English (Professional Working Proficiency)
German (Native/Bilingual)
Russian (Native/Bilingual)
Italian (Intermediate – B2)

Further Learnings

  • R Programming – Coursera
  • Introduction to Computer Science and Programming Using Python – edX

Certification

R Programming – Coursera
Introduction to Computer Science and Programming Using Python – edX

Timeline

Data Scientist / Data Modeller / Analysis Consultant

Experian GmbH (Information Services / Consulting / Credit Bureau)
10.2012 - 10.2024

Group Risk Management Employee

Deutsche Börse Group
12.2011 - 09.2012

Physics - undefined

University of Cologne

Mathematics (diploma) -

University of Cologne
Andreas Schleicher