Profilbild von Andreas Bollig Data Science & Machine Learning Consultant aus Aachen

Andreas Bollig

nicht verfügbar bis 01.01.2025

Letztes Update: 13.02.2024

Data Science & Machine Learning Consultant

Abschluss: PhD Electrical Engineering
Stunden-/Tagessatz: anzeigen
Sprachkenntnisse: deutsch (Muttersprache) | englisch (verhandlungssicher)

Dateianlagen

CV-ProjectList-Andreas-Bollig-2023-11_091123.pdf

Skills

Python, Pandas, XGBoost, scikit-learn, Keras, facebook Prophet, Plotly Dash, PowerBI, Docker, Spark, git, Linux

Projekthistorie

01/2020 - bis jetzt
Freelance Data Scientist


10/2017 - 12/2019
Senior Data Scientist
Henkel AG & Co. KGaA (>10.000 Mitarbeiter)

In-house Data Science consulting covering diverse parts of the Henkel value chain
  • Built various machine learning applications (classification and time series forecasting, etc.) incl. tech stack selection, architecture, model training, and deployment
  • Mentored junior data scientists in multiple projects incl. own contributions: marketing analytics based on IoT data, customer complaint analysis, production optimization, accounts receivable prediction, sales success 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
  • Participated in the definition of standard architectures for machine learning applications at Henkel in collaboration with the DevOps team
Technologies: Python, Pandas, XGBoost, scikit-learn, Keras, facebook Prophet, Plotly Dash, PowerBI, Docker, Spark, git, Linux

02/2016 - 09/2017
Data Scientist and Data Engineer
AXA Konzern AG

Helped to establish Data Innovation Lab and implemented Data Science use cases
  • Implemented Spark data preparation and pseudonymization solutions on Hadoop
  • Collaborated in the specification and implementation of Kafka and Flume data streaming architectures
  • Built statistical models for customer churn prediction
  • Examined print data and identified opportunities for cost reduction
  • Integrated external data scraped from the web
  • Pioneered and supported the establishment of Python, Scala and R development environments within the company
  • Gathered project management experience, leading the project initialization of a small IT infrastructure project (~500TEUR)
Technologies: Python, Scala, R, Hadoop, Spark, Flume, Kafka, SQL on Impala and Hive, Hue, Oozie, bash, git, Pandas, scikit-learn, Selenium WebDriver

07/2011 - 02/2016
Scientific Staff
RWTH Aachen University

Performed research on physical layer signal processing for wireless communications
  • Participated in 3 research projects and contributed to 8 applications for research grants, publishing research papers at top international conferences and journals
  • Supervised students writing theses and working as student research assistants
  • Further developed proficiency in public speaking and presentation techniques in 7  semesters of university teaching and at 4 international conferences 

Gained profound knowledge of:
  • Analysis of large datasets and distributed Monte Carlo simulations
  • Statistical hypothesis tests, detection and estimation theory, signal processing
  • Advanced mathematics: stochastics, linear algebra, convex optimization

Technologies: MATLAB, Python, Linux, git, LATEX

04/2006 - 09/2010
Student Research Assistant
RWTH Aachen University

  • Institute of Comm. Systems and Data Proc.: Implemented an algorithm for measuring harmonic distortion in acoustic signals (Technologies: MATLAB)
  • IT Center: Implemented cluster-management methods for the university compute cluster (Technologies: Sun Grid Engine, Xen Hypervisor, Python, Linux)
  • Institute for Networked Systems: Ported a virtual machine for sensor networks from TinyOS 1.x to TinyOS 2.x (Technologies: nesC - C dialect)
  • Institute of Transport Science: Developed queuing systems simulation (Technologies: Borland Delphi)

10/2009 - 03/2010
Intern
Global IP Solutions (now Google)

Converted a noise-cancellation algorithm for VoIP from floating-point to fixed point arithmetic - now included in Google Hangouts, Apple Facetime, WebRTC (Technologies: C, Python, Microsoft Visual Studio, Perforce)

Reisebereitschaft

Nur Remote verfügbar
Profilbild von Andreas Bollig Data Science & Machine Learning Consultant aus Aachen Data Science & Machine Learning Consultant
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