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Gareth Netto

Gareth Netto

Data Science

Jaguar Land Rover

Technologies

My Portfolio Highlights

My New Track

Python Fundamentals

My New Course

Introduction to Python

Quantitative detective, solving mysteries and uncovering truths in data.

My Work

Take a look at my latest work.

course

Introduction to SQL

course

Introduction to R

course

Introduction to Python

DataCamp Course Completion

Take a look at all the courses I’ve completed on DataCamp.

My Work Experience

Where I've interned and worked during my career.

Jaguar Land Rover | Oct 2022 - Present

Data science ML AI Tech Lead

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Jaguar Land Rover | Sep 2019 - Oct 2022

Senior Data Scientist

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William Hill | Dec 2017 - Aug 2019

Data Science Modelling Analyst

Roles: Provide bespoke data science self-service products to improve targeting and personalisation in CRM, Produce Customer Churn models, Own Customer Value model, Own Cross-sell model, Producing reports for senior stakeholders, Improve automation through establishment of data science pipelines with Data Management Tools: R, H2O, shiny, Rmarkdown, SQL, Python, GIT, Tableau, PowerBI Techniques: Random forest, Neural Networks, GLMs, KNN, Kmeans, GBMs.
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Gibraltar Health Authority | Oct 2017 - Nov 2017

Freelance Data Scientist

Roles: Produce reports on sexual health, Produce reports on blood cultures, Consult to the Direct of Public Health on how recording of data in the Cancer Registry can be improved. Tools: R, shiny, Rmarkdown, GIT

Department for Work and Pensions (DWP) | Nov 2015 - Sep 2017

Senior Data Scientist

Roles: Data warehouse design, Predictive modelling, Explanatory modelling, Code Club coordinator Data Scientist - Jun 2016 Additional Roles: Packaging models into end to end data products, Looking to apply innovations in data science to Civil Service, Consult and discuss Data Science requirements with third parties for a new analytical cloud based platform Senior Data Scientist - April 2017 Additional roles: Line manage a junior data scientist, Lead, plan and deliver data science projects in an AGILE way Tools: R, H2O, SQL, shiny, Rmarkdown, Python, Linux, GIT, Bash, Docker, HIVE, Spark, AWS Techniques: Clustering (Kmeans, PCA), GLMs, Tree based methods (Random forest, Gradient Boosted Machines, Decision Trees), Text mining (topic modelling, bag of words, sentiment analysis), AGILE

UK Ministry of Justice | Nov 2014 - Nov 2015

Statistics Officer: Prison Statistics

Roles: Policy Analysis, Forecasting, Publication of Prison Population Statistics. Tools: R, SQL, SAS, Excel Techniques: GLMs, Linear Regression, Hypothesis Testing

Lancaster University | Sep 2013 - Jul 2014

Assistant Dean - Grizedale College

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Alameda Botanical Garden and Wildlife Park | Jul 2012 - Aug 2013

Garden Aide

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Beth Brockett | Apr 2013 - Jun 2013

Research Assistant

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Gibraltar Health Authority | Jul 2011 - Sep 2011

Administrative Assistant

N/A

My Education

Take a look at my formal education

Master of Science (MSc), Ecology and ConservationLancaster University | 2014
BSc (Hons), Biological SciencesLancaster University | 2013

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