Andreas Bollig, Developer in Hilden, North Rhine-Westphalia, Germany
Andreas is available for hire
Hire Andreas

Andreas Bollig

Verified Expert  in Engineering

Artificial Intelligence (AI) Developer

Location
Hilden, 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.

Machine LearningArtificial Intelligence (AI)PythonPandasNatural Language Processing (NLP)LinuxSparkDockerDatabricksCHadoopMATLABApache Kafka

Portfolio

Henkel
Spark, Docker, XGBoost, Scikit-learn, Pandas, Python
AXA
Scikit-learn, Pandas, Apache Kafka, Spark, Python
RWTH Aachen University
LaTeX, Python, MATLAB

Experience

Python - 8 yearsSpark - 4 yearsData Science - 4 yearsArtificial Intelligence (AI) - 4 yearsScikit-learn - 4 yearsXGBoost - 4 yearsDocker - 3 yearsGPT - 3 years

Availability

Part-time

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

2017 - 2019
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.
Technologies: Spark, Docker, XGBoost, Scikit-learn, Pandas, Python

Data Scientist

2016 - 2017
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.
Technologies: Scikit-learn, Pandas, Apache Kafka, Spark, Python

Scientific Staff

2011 - 2016
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.
Technologies: LaTeX, Python, MATLAB

Inventory Forecast

To provide the controlling department ample time for preparing devaluation numbers for the month-end closing in the context of slow-moving inventory, I built a machine learning solution that forecasts inventory quantities for a big number of materials and makes the data usable via a web-based dashboard.

Cost-type Proposer

When bookings in a company's ERP system carry the wrong cost types, the controlling department gets a distorted view of the company's expenses. To this end, I developed a machine learning solution that proposes a cost-type (GL account) for each booking and provides this data to the controlling department via the company's BI system.

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

2011 - 2016

Doctor of Philosophy (Ph.D.) in Wireless Communications

RWTH Aachen University - Aachen, Germany

2005 - 2011

Master of Science Degree in Computer Engineering

RWTH Aachen University - Aachen, Germany

JANUARY 2015 - PRESENT

Cambridge C2 Proficiency

Cambridge Assessment English - University of Cambridge