I have a rare combination of analytical and leadership skills, stemming from my experience of developing solutions at two leading data analytics consultancies, delivering complex projects at a boutique consultancy, and my background as a physicist.
I have an excellent academic record, with a PhD in quantum computation, and an ability and appetite to rapidly assimilate new mathematical and technical skills, and a proven track record of building trust relationships with stakeholders of all levels. I also take great pleasure in teaching and developing others.
Highly skilled in Python (pandas, numpy, scipy, scikit-learn, pystan, matplotlib, plotly, voila), PySpark, SQL (Hive, PostgreSQL, BigQuery, MySQL), shell scripting (bash), git, Docker; Experience with Matlab and R (tidyverse)
Experienced in machine learning techniques including XGBoost, random forests, regularised regression, networking analysis and community detection, support vector machines, classifiers, clustering (kmeans, hierarchical), product embeddings using word2vec and non-negative matrix factorisation