Senior Data Scientist

Belle Peyton

Senior Data Scientist

I am MSc Quantitative Methods in Economics with advanced knowledge of R, R Markdown, R Shiny, SAS, Tableau, Latex, Excel, SQL, and Snowflake SQL.

8+ years of professional experience in data analytics

3 years working for a Big Four consulting firm

13 years’ experience in R

 

The Methodology At My Disposal Ranges From:

  • Explanatory data analysis, unsupervised learning algorithms such as association rules, and cluster analysis are among the methodologies at my disposal.
  • Hypothesis testing, chi-square analysis, ANOVA, and mixed effect models
  • Ranging from well-founded statistical modelling methods like logistic regression, GLM, time series forecasting, and survival analysis to data mining algorithms like gradient boosting (XGboost).

 

My expertise spans the entire model development process, from data aggregation, preparation, and cleaning to variable engineering and selection, model estimation and validation, scorecard development, and model monitoring.

I enjoy converting raw and complex data into useful information. If you believe you could benefit from my abilities, please do not hesitate to contact me.

 

 

Portfolio

Skill

SAS Statistical Analysis R Tableau Data Visualization Transact-SQL Microsoft Excel Data Modeling LaTeX Business Intelligence

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