David Yerrington

Self-taught engineer with over 15 years experience leading teams and building innovative products for humans. Strong knowledge of statistical data analysis and machine learning techniques, having authored and taught curriculum for one of the leading data science boot camps.

I help companies define specific, actionable outcomes with data from vague requirements, then build reproducible work from analysis to working deployments. Recently, I was chief data officer at Bluwhale, where I lead a team in defining the methodology for data science projects for some of the world's biggest game companies while integrating our work into a product that automated common analysis tasks.

Specialties:

• Scientific Python (Pandas, NumPy, sklearn, scikit, Keras, Tensorflow)

• Data visualization

• SDLC methodologies and management

• Educational data science curriculum development

• Enterprise level application design and development

• Pipeline development for big data applications (Spark, Hive, Redshift, AWS, EMR, BigQuery, etc)

• Machine learning theory and applications in predictive analysis

• Restful services architecture