
Andreas Bollig
Verified Expert in Engineering
Artificial Intelligence (AI) Developer
With a Ph.D. in electrical engineering and extensive experience in building machine learning applications, Andreas spans the entire AI value chain, from use case identification and feasibility analysis to implementation of custom-made statistical models and applications. Throughout projects, he stays focused on solving the business problem at hand and creating value from data.
Portfolio
Experience
Availability
Preferred Environment
Databricks, Spark, Scikit-learn, Docker, Python
The most amazing...
...machine learning solution I have built is a fully automated cloud-based end-to-end cost-type proposer for GL bookings.
Work Experience
Senior Data Scientist
Henkel
- Built multiple machine learning applications (classification and time series forecasting) including tech stack selection, architecture, model training, and deployment.
- Mentored junior data scientists in multiple projects incl. own contributions: marketing analytics based on IoT data, production optimization, accounts receivable prediction, epigenetics research, hair color prediction from sensor measurements.
- Consulted and performed QA in multiple machine learning projects with external implementation partners-contexts: source-to-pay, intercompany, EDI.
Data Scientist
AXA
- Helped build the inhouse data lab and established data science approaches at the company.
- Built statistical models for customer churn prediction.
- Implemented Spark data preparation and pseudonymization solutions on Hadoop.
Scientific Staff
RWTH Aachen University
- Participated in three research projects and contributed to eight applications for research grants, publishing research papers at top international conferences and journals.
- Analyzed large datasets and performed distributed Monte Carlo simulations.
- Supervised students writing theses and working as student research assistants.
Experience
Inventory Forecast
Cost-type Proposer
Skills
Languages
Python, C
Libraries/APIs
Pandas, Scikit-learn, XGBoost
Paradigms
Data Science
Other
Machine Learning, Artificial Intelligence (AI), Natural Language Processing (NLP), GPT, Generative Pre-trained Transformers (GPT)
Frameworks
Spark, Hadoop
Tools
LaTeX, MATLAB
Platforms
Linux, Docker, Databricks, Apache Kafka, Xen, TinyOS
Education
Doctor of Philosophy (Ph.D.) in Wireless Communications
RWTH Aachen University - Aachen, Germany
Master of Science Degree in Computer Engineering
RWTH Aachen University - Aachen, Germany
Certifications
Cambridge C2 Proficiency
Cambridge Assessment English - University of Cambridge