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Data Scientist with a background in Neuroscience and Healthcare Advertising.

Lee Surkis , London, United Kingdom


Experience

1 - 4 years

Other titles

Data Science Fellow Account Manager Senior Account Exective Account Executive

Skills

Data Science Linear regression Logistic Regression Machine learning Random forest + 5 more

I'm offering

Project experience:

- Predicting outcome of a child going through social care using logistic regression and random forest). Done by analysing structured data as well as practitioner notes (topic modelling to identify key features).

- Recurrent Neural Network (LSTM) (stored and run on AWS) to
generate techno music. The LSTM output is a unique MIDI file which can be
viewed as a score or converted to mp3, have a listen to my algorithm's song:
http://*********.***

- Linear Regression model with elastic net regularization to
predict global suicide rates based on social and economic features.

- Random Forest and Gradient Boosting models to predict
employee turnover and used Logistic Regression to identify the most
important features for HR intervention in order to increase retention.

- Application of NLP and Topic Modeling to predict emotions in tweets. 6
emotions were identified and built into a Dash app which returned
percentage of each emotion in a tweet.

Markets

United States
United Kingdom
France

Links for more

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Language

English
Fluently

Ready for

  Smaller project
  Larger project
  Ongoing relation / part-time
  Full time contractor

Available

Typically available within 14 days

My experience


My education




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