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Peter Sutovsky

Peter Sutovsky

Data Scientist


My Portfolio Highlights

My New Course

Introduction to R

My New Workspace

Introduction to Regression with statsmodels in Python

Data archaeologist, unearthing buried insights from historical records.

My Work

Take a look at my latest work.


Introduction to Regression with statsmodels in Python


Course Notes: Web Scraping in 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.

Product Madness | May 2022 - Jan 2023

Data Scientist

Building predictive and forecasting models for user acquisition using Python, SQL, PySpark, Dask, GCP Vertex AI, and Snowflake.
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Newcastle University | Oct 2021 - May 2022

Postdoctoral Research Associate in Data Science and Machine Learning

Application of data science and machine learning / AI methods to support a precision and personalized medicine approach to the early diagnosis and accurate prognosis of advanced/end-stage of liver disease. I used mainly Python.

The University of Manchester | Oct 2019 - Oct 2021

Postdoctoral Research Associate in Data Science and Machine Learning

Applications of machine learning (including causal model learning) to medical diagnosis, prognosis and treatment. Exploratory data analysis of COVID data. Using Python, R, Google BERT NLP. Statistical data analysis and modelling for investigating retention and turnover of general practitioners and the related factors using Python and Stata.

Imperial College London | Sep 2018 - May 2019

Postdoctoral Research Associate

An anomaly detection in workflow data. Implemented solutions in Python.

Newcastle University | May 2015 - May 2018

Postdoctoral Research Associate

Development of Bayesian statistical methods addressing various challenging inferential problems in metagenomics. I used MCMC, Scala, and NLP/Breeze.

University of Leicester | May 2014 - May 2015

Postdoctoral Research Associate

Statistical software research and development for Bayesian data analysis and its application to behavioural neuroscience. I used Haskell, Matlab, R, and Stan.

My Education

Take a look at my formal education

Doctor of Philosophy - PhD, Information SciencesUniversity of Pittsburgh | 2010

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