Instructor for Machine Learning in Python
2016 - PRESENTDataCamp- Designed a workshop-style course on unsupervised learning methods.
- Created the course content, including videos and exercises.
Technologies: Scikit-learn, NumPy, SciPy, PythonCo-Founder
2013 - 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: Natural Language Processing (NLP), Machine Learning, Tornado, PythonMachine-Learning Specialist
2012 - 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: Natural Language Processing (NLP), Scikit-learn, Jupyter, PythonData Scientist | Software Developer
2012 - 2012Tinyclues- Analyzed client data.
- Produced predictive models.
- Provided business insight.
Technologies: Scikit-learn, Python
Benjamin Wilson, Ph.D.
Tornado Developer in Berlin, Germany
Member since October 31, 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
- DataCampScikit-learn, NumPy, SciPy, Python
- Lateral GmbHNatural Language Processing (NLP), Machine Learning, Tornado, Python
- MBR TargetingNatural Language Processing (NLP), Scikit-learn, Jupyter, Python
Experience
- Linux 6 years
- SQL 6 years
- Python 5 years
- Scikit-learn 5 years
- Pandas 4 years
- Google Cloud Engine 3 years
- Amazon EC2 3 years
- Tornado 3 years
Availability
Part-time
Preferred Environment
Git, Vim Text Editor, Linux
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 GmbHhttps://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 Targetinghttps://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)http://building-babylon.net/
A blog where I post my notes, thoughts and learnings on machine learning.
- Controlled Experiments for Word Embeddings (R&D)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)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
Languages
Python, HTML, JavaScript, SQL, Java, PHPLibraries/APIs
Scikit-learn, Pandas, SciPy, NumPyParadigms
Data Science, Object-oriented Programming (OOP)Storage
PostgreSQL, AWS S3, Relational Databases, AWS DynamoDBOther
Machine Learning, Statistical Modeling, Data Engineering, Data Analysis, Data Modeling, Tornado, Natural Language Processing (NLP), Numerical MethodsTools
Gensim, Vim Text Editor, Jupyter, GitPlatforms
Amazon Web Services (AWS), Google Cloud Engine, Azure, Linux, Amazon EC2
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
