Experience

OpenSC

• Australia
• IT Services and IT Consulting
• 1 - 100 Employee

• Senior Data Scientist

  • May 2022 - Present

  • Leading the advancement of machine learning and data science at OpenSC, an impact venture co-founded by WWF and BCG. Our mission is to enhance supply chain transparency and verify low-carbon, sustainable, and ethical food production at the source. • Leading the advancement of machine learning and data science at OpenSC, an impact venture co-founded by WWF and BCG. Our mission is to enhance supply chain transparency and verify low-carbon, sustainable, and ethical food production at the source.



PepsiCo

• United States
• Food and Beverage Services
• 700 & Above Employee

• Senior Machine Learning Engineer

  • May 2021 - May 2022

  • Data science innovation team lead, responsible for developing time-series forecasting models to improve supply-chain planning. • Formulated, designed and implemented the global data science MLOps framework. • Data science innovation team lead, responsible for developing time-series forecasting models to improve supply-chain planning. • Formulated, designed and implemented the global data science MLOps framework.



Chartboost

• United States
• Software Development
• 100 - 200 Employee

• Machine Learning Engineer

  • Oct 2019 - May 2021

  • Responsible for the data science efforts at Chartboost, the largest mobile games-only ad platform. • Focused on rapid prototyping and scalable model development within the demand-side platform and real-time bidding exchange. This included auction pricing, churn prediction, uplift modelling, lookalike modelling and A/B testing frameworks. • Responsible for the data science efforts at Chartboost, the largest mobile games-only ad platform. • Focused on rapid prototyping and scalable model development within the demand-side platform and real-time bidding exchange. This included auction pricing, churn prediction, uplift modelling, lookalike modelling and A/B testing frameworks.



Newcastle University

• United Kingdom
• Higher Education
• 700 & Above Employee

• Data Scientist

  • Jun 2019 - Oct 2019

  • Designed, built, and put into production a web-based open-source statistical tool: Implementing Thrombectomy - Economic Modeling of Stroke (ITEMS). • The tool performed Monte Carlo simulations to support decision making on the rollout of mechanical thrombectomy throughout the United Kingdom. • Designed, built, and put into production a web-based open-source statistical tool: Implementing Thrombectomy - Economic Modeling of Stroke (ITEMS). • The tool performed Monte Carlo simulations to support decision making on the rollout of mechanical thrombectomy throughout the United Kingdom.



Barcelona School of Economics

• Spain
• Higher Education
• 1 - 100 Employee

• Applied Research Scientist

  • Apr 2019 - Jul 2019

  • Developed an advanced patient flow analytics product that employed Bayesian network and causality theory to simulate and illustrate the impact that healthcare management decisions have on patient flow. • The software offers in-depth insights for critical care physicians and hospital leaders aiming to allocate their limited resources more efficiently. • Developed an advanced patient flow analytics product that employed Bayesian network and causality theory to simulate and illustrate the impact that healthcare management decisions have on patient flow. • The software offers in-depth insights for critical care physicians and hospital leaders aiming to allocate their limited resources more efficiently.



Leaply

• South Africa
• Internet Marketplace Platforms
• 1 - 100 Employee

• Data Scientist

  • Jan 2018 - Aug 2018

  • Managed a technical team that designed multiple KPIs, and built an end-to-end system to automate reporting. • Conducted research on gender and racial bias within South African graduate recruitment and investigated whether 'standard' machine learning may lead to an entrenchment of these biases. • Created and deployed an in-house BI dashboard to facilitate better decision-making within the business teams. • Managed a technical team that designed multiple KPIs, and built an end-to-end system to automate reporting. • Conducted research on gender and racial bias within South African graduate recruitment and investigated whether 'standard' machine learning may lead to an entrenchment of these biases. • Created and deployed an in-house BI dashboard to facilitate better decision-making within the business teams.



Predictive Insights

• Advertising Services

• Data Scientist

  • Jan 2018 - Aug 2018

  • Built prediction and uplift models to estimate employee turnover and increase the effectiveness of employee retention programs. • Developed NLP algorithms to classify large scale SMS data into seven job families to aid the clients' employment matching processes. • Built prediction and uplift models to estimate employee turnover and increase the effectiveness of employee retention programs. • Developed NLP algorithms to classify large scale SMS data into seven job families to aid the clients' employment matching processes.