09/06/2022 updated
100 % available
Data Scientist
Thornton Heath, United Kingdom
Worldwide
C++, Flask, Machine, TensorFlow, Scikit-Learn, Weka, Spark MLlib, Docker, Scipy, Numpy, Azure ML, AWS, Google Cloud Platform, GPUs, GPU clusters, Windows, Mac, Linux, Unix, Android, GPU, machine learning, recommender system, deep learning, LSTM, word2vec, CVs, Google, Computer Vision, neural network, convolutional neural networks, dialogue systems, Matlab, Perl, Mathematica
Languages
GermanFluentEnglishNative speakerFrenchFluentSpanishFluent
Project history
* Predictive models for staff attrition and staff training outcomes for NHS employees and for
criminal cases.
criminal cases.
* Designed, developed, trained and deployed two large scale machine learning solutions.
* Vehicle route planning for 4000 stores around the UK.
* Order prediction for 15 million home shopping customers based on purchase history.
* Vehicle route planning for 4000 stores around the UK.
* Order prediction for 15 million home shopping customers based on purchase history.
* Principal data scientist at job board with 12 million jobseekers.
* Developed recommender system for sending job alerts to candidates, with 9% conversion rate.
* Trained deep learning models (CNN, RNN, LSTM, word2vec, seq2seq) to analyse candidates' CVs
and job descriptions, using Google GPU instances.
* Deployed model to analyse candidates' CVs in real time when they register, giving better
candidate experience and a lower bounce rate on the registration form.
* Developed recommender system for sending job alerts to candidates, with 9% conversion rate.
* Trained deep learning models (CNN, RNN, LSTM, word2vec, seq2seq) to analyse candidates' CVs
and job descriptions, using Google GPU instances.
* Deployed model to analyse candidates' CVs in real time when they register, giving better
candidate experience and a lower bounce rate on the registration form.