- Instructor for Machine Learning in Python2016 - PRESENTDataCamp
- Designed a workshop-style course on unsupervised learning methods.
- Created the course content, including videos and exercises.
Technologies: Python, Scipy, Numpy, Sklearn - Co-Founder2013 - PRESENTLateral GmbH
- Implemented APIs using Python/Tornado.
- Provided R&D in knowledge management using machine learning and NLP.
- Optimized machine learning pipelines.
- Evaluated statistical models.
Technologies: Python, Tornado, Machine Learning, NLP - Machine-Learning Specialist2012 - 2013MBR Targeting
- Created predictive modeling of prices in a real-time bidding marketplace using Python/Sklearn using data science and huge amounts of behavioral data to hunt down and block click bots.
Technologies: Python, Jupyter, Sklearn, NLP - Data Scientist | Software Developer2012 - 2012Tinyclues
- Analyzed client data.
- Produced predictive models.
- Provided business insight.
Technologies: Python, Sklearn
Benjamin Wilson, Ph.D.
Berlin, Germany
Member since August 27, 2016
Ben is a Ph.D. mathematician and computer scientist with exceptional practical skills and extensive experience with machine learning systems. He has worked extensively with large clients in real-time bidding, recommender systems, knowledge management, and NLP (from research to implementation of the system in production).
Benjamin is now available for hire
Portfolio
- DataCampPython, Scipy, Numpy, Sklearn
- Lateral GmbHPython, Tornado, Machine Learning, NLP
- MBR TargetingPython, Jupyter, Sklearn, NLP
Experience
- Linux, 6 years
- SQL, 6 years
- Python, 5 years
- Sklearn, 5 years
- Pandas, 4 years
- Tornado, 3 years
- AWS EC2, 3 years
- Google Cloud Engine, 3 years
Availability
Part-time
Preferred Environment
Linux, Vim, Git
The most amazing...
...project I've worked on is the design and implementation of machine learning pipelines and APIs that serve millions of requests per day in production.
Employment
Experience
- Lateral GmbH (Development)https://lateral.io/
I provided machine learning R&D for knowledge management and implemented the back-end APIs in Python/Tornado. In addition I created predictive models, parsed documents, and worked with NLP.
- MBR Targeting (Development)https://mbr-targeting.com/
As a machine-learning specialist for this product, I created predictive modeling of prices in a real-time bidding marketplace and tuning of a recommendation engine.
- Building Babylon (R&D) (Other amazing things)http://building-babylon.net/
A blog where I post my notes, thoughts and learnings on machine learning.
- Controlled Experiments for Word Embeddings (R&D) (Other amazing things)https://arxiv.org/abs/1510.02675
A paper where we propose experimental methods for investigating to properties of word embeddings like word2vec and GloVe. Co-authored with Adriaan Schakel.
- Berlin Machine Learning Seminar (R&D) (Other amazing things)http://berlin-machine-learning-seminar.org/
I founded and continue to organize the Berlin ML seminar, which focuses on the mathematical foundations of machine learning.
Skills
- LanguagesPython, JavaScript, SQL, HTML, Java, PHP
- FrameworksMachine Learning
- Libraries/APIsPandas, Sklearn, NumPy, SciPy
- ParadigmsObject-oriented Programming (OOP), Data Science
- StoragePostgreSQL, Relational Databases, AWS S3, AWS RDS, AWS DynamoDB
- OtherStatistical Modeling, Tornado, Numerical Methods
- ToolsGensim, Git, Jupyter
- PlatformsLinux, Azure, AWS EC2, Google Cloud Engine, Amazon Web Services (AWS)
Education
- Ph.D. in Mathematics2004 - 2008University of Sydney/Universidade de São Paulo - Sydney/São Paulo
- Honors (1st Class and University Medal) in Mathematics2003 - 2003University of Sydney - Sydney, Australia
- Bachelor of Science (Advanced) in Computer Science and Mathematics2000 - 2002University of Sydney - Sydney, Australia
