Experience

Deliveroo

• United Kingdom
• Internet Marketplace Platforms
• 700 & Above Employee

• Software Engineer - Backend/Data

  • Oct 2017 - Jan 2021

  • As part of the team responsible for Plus (Deliveroo s subscription product), delivered important upgrades to mature Plus from an MVP to a stable product with millions of users, e.g. a customization API built with Akka HTTP, AWS and Terraform • Involved in designing and implementing solutions for pricing experimentation work that made Plus a cost-effective growth driver in preparation for the IPO • Led complex projects from idea to production. For example, automated personalisation of… Show more • As part of the team responsible for Plus (Deliveroo s subscription product), delivered important upgrades to mature Plus from an MVP to a stable product with millions of users, e.g. a customization API built with Akka HTTP, AWS and Terraform • Involved in designing and implementing solutions for pricing experimentation work that made Plus a cost-effective growth driver in preparation for the IPO • Led complex projects from idea to production. For example, automated personalisation of CRM communications for tens of millions of users with a service running on Scala, Snowflake and AWS (Lambda, API Gateway, S3, DynamoDB, IAM), resulting in 6-figure annual vendor cost savings • Implemented backend components of consumer-facing features like subscription pausing on top of Scala/Akka HTTP microservices and Ruby on Rails monolith •Built a Scala ETL displaying up-to-date restaurant URLs on Google Maps. This service runs on AWS (Lambda, S3, Kinesis) and brings in 8-figure organic revenues every year • Ensured compliance with new regulations (e.g. GDPR, PSD2) by working with stakeholders to translate regulatory requirements into technical specifications and leading cross-functional implementation work • Member of high-profile on-call rota which included critical path services • Actively involved in interviewing, developing onboarding content and running onboarding sessions, organising community events, running workshops and mentoring

• Senior Data Scientist

  • Dec 2016 - Oct 2017

  • Integrated with ad platform APIs using Python and Ansible to optimise 7-figure annual marketing spends • Improved competitive intelligence tooling through productionizing scraping scripts, automating data analysis and developing sophisticated geospatial models with Python (shapely, geopandas) • Worked on the first iteration of Deliveroo’s in-house automated A/B test analysis tool • Helped design and implement a CI/CD pipeline for recurring Python tasks using Travis CI, Docker and… Show more • Integrated with ad platform APIs using Python and Ansible to optimise 7-figure annual marketing spends • Improved competitive intelligence tooling through productionizing scraping scripts, automating data analysis and developing sophisticated geospatial models with Python (shapely, geopandas) • Worked on the first iteration of Deliveroo’s in-house automated A/B test analysis tool • Helped design and implement a CI/CD pipeline for recurring Python tasks using Travis CI, Docker and k8s. This allowed dozens of data scientists to deploy >200 tasks over the years by simply checking scripts into a Github repository



Fivestars by SumUp

• United States
• Financial Services
• 100 - 200 Employee

• Data Analyst - Marketing

  • Oct 2014 - Jan 2016

  • Used Python (pandas, scikit-learn and statsmodels) to build regression ML models that identified sales leads most likely to convert and accounts most likely to churn • Set up automated pipelines for marketing and sales reporting using SQL, Python (pandas, numpy, matplotlib) and Tableau • Built a rich sales leads database by sourcing and aggregating data from scraping and various APIs • Conducted exploratory analysis with Jupyter Notebooks, e.g. using nltk to extract actionable… Show more • Used Python (pandas, scikit-learn and statsmodels) to build regression ML models that identified sales leads most likely to convert and accounts most likely to churn • Set up automated pipelines for marketing and sales reporting using SQL, Python (pandas, numpy, matplotlib) and Tableau • Built a rich sales leads database by sourcing and aggregating data from scraping and various APIs • Conducted exploratory analysis with Jupyter Notebooks, e.g. using nltk to extract actionable insights from survey responses Show less • Used Python (pandas, scikit-learn and statsmodels) to build regression ML models that identified sales leads most likely to convert and accounts most likely to churn • Set up automated pipelines for marketing and sales reporting using SQL, Python (pandas, numpy, matplotlib) and Tableau • Built a rich sales leads database by sourcing and aggregating data from scraping and various APIs • Conducted exploratory analysis with Jupyter Notebooks, e.g. using nltk to extract actionable… Show more • Used Python (pandas, scikit-learn and statsmodels) to build regression ML models that identified sales leads most likely to convert and accounts most likely to churn • Set up automated pipelines for marketing and sales reporting using SQL, Python (pandas, numpy, matplotlib) and Tableau • Built a rich sales leads database by sourcing and aggregating data from scraping and various APIs • Conducted exploratory analysis with Jupyter Notebooks, e.g. using nltk to extract actionable insights from survey responses Show less