Andreas Bollig
Verified Expert in Engineering
Artificial Intelligence (AI) Developer
Aachen, North Rhine-Westphalia, Germany
Toptal member since November 22, 2019
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
- Python - 8 years
- Artificial Intelligence (AI) - 4 years
- Data Science - 4 years
- Spark - 4 years
- Scikit-learn - 4 years
- XGBoost - 4 years
- Generative Pre-trained Transformers (GPT) - 3 years
- Natural Language Processing (NLP) - 3 years
Availability
Preferred Environment
Databricks, Spark, Scikit-learn, Docker, Python
The most amazing...
...machine learning solution I've 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
Data Generalist at Financial Services Startup
TASKS:
• Refactored existing data ingestion pipelines to allow for code reuse + added pipelines for new data sources + introduced type checking, automated testing, etc.
• Created dashboards for business controlling.
• Created ad-hoc data analyses and discussed their interpretation with stakeholders.
Online Shop Product Tests & Statistical Data Analysis
Web Application Development
Geocoding and Geographical Clustering for Claims Hotspot Identification
Forecasting for Sales and Operations Planning
Inventory Forecast
Cost-type Proposer
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
Skills
Libraries/APIs
Pandas, Scikit-learn, XGBoost, SQLAlchemy, Playwright, PySpark
Tools
Jupyter, LaTeX, MATLAB, Plotly, Pytest, Apache Beam, Cloud Dataflow, BigQuery, GitLab CI/CD, Amazon Athena, Graphviz
Languages
Python, C, CSS, HTML, JavaScript
Frameworks
Spark, Hadoop, Flask, Alembic
Platforms
Linux, Docker, Databricks, Apache Kafka, Xen, TinyOS, Azure
Storage
Exasol, Azure SQL, SQLite
Other
Data Science, Machine Learning, Artificial Intelligence (AI), Natural Language Processing (NLP), Generative Pre-trained Transformers (GPT), Metabase, Poetry, Web Applications, PyProj, geopy, HyperOpt, MLflow
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