Thomas W.

Thomas W.

LondonUnited Kingdom
Job Success

Consultant data scientist

Data Science, Machine Learning and Data Strategy Consulting Available for consulting and contracting, not permanent roles. Certified by Microsoft as Azure Data Scientist Associate. * Millions of customers/users of a website? * Do you need to predict complex behaviour on a user by user basis? * Anticipate customer churn before it happens? * Purchasing patterns? * Product recommendations? * How can you extract value from a huge database of text data, without writing manual rules? I have more than 10 years of experience in machine learning, more recently in deep learning. My speciality is large amounts of unstructured text data (product descriptions, customer profile texts, etc). I also work with image data. Through my company Fast Data Science Ltd, I can provide various services from consulting to complete production ready deployment of machine learning solutions. References available on request. About me - Experience in running machine learning projects with complex requirements and international teams of developers. - Delivery of machine learning solutions from inception to deployment. - Expertise in two major areas of AI: Computer Vision and Natural Language Processing. - NLP: spoken and written dialogue systems, information retrieval, document classification. - Image processing: convolutional neural networks. - Experience with machine learning algorithms (linear regression, naïve Bayes, neural networks etc) and with the corresponding software suites (TensorFlow, Scikit-learn, Weka, etc). - Research, development, architecture, pre-sales, consulting for internal and external clients. - Good command of Python, Java, C++, Groovy, BigQuery. - Data visualisation and presentation: Google Charts, PowerPoint, Word. - International experience: several years in Spain and Germany and fluent command of several European languages. - Fast learner, quick to pick up new technologies and able to explain technical issues clearly to stakeholders.
No items

Skills

Thomas W.

Thomas W.

LondonUnited Kingdom
Job Success
9
Total Jobs
4
Total Hours

Consultant data scientist

Specializes in
Data Science, Machine Learning and Data Strategy Consulting Available for consulting and contracting, not permanent roles. Certified by Microsoft as Azure Data Scientist Associate. * Millions of customers/users of a website? * Do you need to predict complex behaviour on a user by user basis? * Anticipate customer churn before it happens? * Purchasing patterns? * Product recommendations? * How can you extract value from a huge database of text data, without writing manual rules? I have more than 10 years of experience in machine learning, more recently in deep learning. My speciality is large amounts of unstructured text data (product descriptions, customer profile texts, etc). I also work with image data. Through my company Fast Data Science Ltd, I can provide various services from consulting to complete production ready deployment of machine learning solutions. References available on request. About me - Experience in running machine learning projects with complex requirements and international teams of developers. - Delivery of machine learning solutions from inception to deployment. - Expertise in two major areas of AI: Computer Vision and Natural Language Processing. - NLP: spoken and written dialogue systems, information retrieval, document classification. - Image processing: convolutional neural networks. - Experience with machine learning algorithms (linear regression, naïve Bayes, neural networks etc) and with the corresponding software suites (TensorFlow, Scikit-learn, Weka, etc). - Research, development, architecture, pre-sales, consulting for internal and external clients. - Good command of Python, Java, C++, Groovy, BigQuery. - Data visualisation and presentation: Google Charts, PowerPoint, Word. - International experience: several years in Spain and Germany and fluent command of several European languages. - Fast learner, quick to pick up new technologies and able to explain technical issues clearly to stakeholders.
No items

Skills

More than 30 hrs/week