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Data Scientist and Data Engineer specializing in GCP
James Tull
,
London, United Kingdom
Experience
Other titles
Skills
I'm offering
I am a data scientist with extensive experience working with both GCP and AWS. I have experience with Boosting, Genetic Algorithms and Neural Networks in a range of industry contexts from digital marketing, e-commerce to finance.
Markets
United Kingdom
Industries
Language
English
Fluently
Ready for
Larger project
Full time contractor
Available
My experience
2020 - 2020
job
Senior Data Scientist
Cogniflare/ Vodafone.
- Model migration project from Hadoop cluster to GCP. Development of CI/CD pipeline using Cloud Build.
- Deployment of models on GKE (Kubernetes), Dataproc (PySpark) and scheduling of jobs using Cloud
- Deployment of models on GKE (Kubernetes), Dataproc (PySpark) and scheduling of jobs using Cloud
Deployment, Kubernetes, Cloud, Hadoop, Development, Pyspark, CI / CD
2019 - 2020
job
Composer (Airflow)
Gousto.
Senior Data Scientist
- Optimised genetic algorithms using multiprocessing and Cython to reduce running time by 75%
- Developed new features in genetic algorithms to capture business proposals supporting increased delivery volume and increased recipe customisation
- Deployed models in production on AWS Fargate in an event-driven architecture
- Optimised genetic algorithms using multiprocessing and Cython to reduce running time by 75%
- Developed new features in genetic algorithms to capture business proposals supporting increased delivery volume and increased recipe customisation
- Deployed models in production on AWS Fargate in an event-driven architecture
AWS, Event, Algorithms, Architecture, Production
2019 - 2019
job
Senior Data Scientist/Data Engineer
Artefact.
- Create and maintain fully automated CI/CD pipelines for code deployment using Cloud Build and Kubernetes on Google Cloud Platform
- Deployed a customer segmentation model using Cloud Dataflow (Apache Beam) and Cloud ML
(Tensorflow)
- Deployed a customer segmentation model using Cloud Dataflow (Apache Beam) and Cloud ML
(Tensorflow)
Deployment, Kubernetes, Cloud, Apache, Google cloud, Google Cloud Platform, Tensorflow, Google, CI / CD
2018 - 2019
job
Data Scientist/Software Engineer
Aon.
- Built a neural network for internal job matching project achieving over 85% accuracy using Tensorflow
- Developed an LSTM NLP model to predict job types using tokenization of input data with Tensorflow
- Deployed Tensorflow model to production using Docker, AWS, TeamCity and Octopus Deploy.
- Developed an LSTM NLP model to predict job types using tokenization of input data with Tensorflow
- Deployed Tensorflow model to production using Docker, AWS, TeamCity and Octopus Deploy.
Docker, AWS, Tensorflow, Network, NLP, Teamcity, Software, Production
2016 - 2018
job
Data/Software Engineer
ProductBio.
- Built a product recommendation engine using Python and Sci-kit learn
- Designed and built a web application hosted on AWS using Django, Python and AngularJS.
- Designed and built a web application hosted on AWS using Django, Python and AngularJS.
Python, AWS, AngularJS, Django, Software, Web
2008 - 2010
job
Analyst, Structured Credit Valuations Group
Deutsche Bank.
Analyst
My education
Imperial College London
N/a, N/a
N/a, N/a
Brasenose College University of Oxford
MSc, Mathematical Modelling and Scientific Computing
MSc, Mathematical Modelling and Scientific Computing
University of Manchester
BSc, Mathematics
BSc, Mathematics
Grantham Institute
Doctorate, Applied Mathematics
Doctorate, Applied Mathematics
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