Daniel Molnar

I'm a generalist in a tight-knit data team enabling data driven company culture and operations as a data janitor, data analyst and occasional data scientist. Doing ETL and Data Quality, defining company-wide KPIs and metrics with management, producing BI, exploring user behaviour to trigger actionable changes in marketing and product, A/B testing, feature engineering for ML, building webapp for secret sauce internal data tool. Long live Bayes and Occam! Tools are mostly bash, Python, Redshift, Tableau, SQL, Python, Flask, Mustache, Wizard, Optimizely.