MARIE H ROY

Technical advisor to Data Science SVP & ML Team Lead

Vision: Build a powerful and lean ML solution stack adapted to a rapidly changing data ecosystem

Developed the team's ML products & growth strategy.

• Focused on scalability, modularity, technical monitoring and accuracy, and model risk management.

Lead prototype projects for sales impact measurement systems

• Integrated MMM, experiments, MTA systems
• Brand impact measurement
• Time series & dynamic modeling

Developed workshops and training for the team's data scientists

• Workshops on econometrics, causal inference, incrementality testing, design of experiments, MMM & MTA.
• Coaching and mentoring on statistical literacy and interpretation, inference, ML theory, model validation, and effective data visualization.

Organized and lead implementation of DS best practices throughout the data science teams

• Workflow reproducibility & automation
• Validation & peer review
• Project risk management
• Documentation, collaboration & knowledge sharing

Led and built end-to-end marketing ROI solutions, optimization, and business forecasting
Focus: Empowering stakeholders with actionable, high-impact media measurement solutions.

Translated stakeholder business needs into statistical problems.

• Developed advanced modeling methods, metrics, simulations and algorithmic adaptations to meet constantly evolving needs and digital media strategies.
• Collaborated with cross-functional teams to address business challenges using innovative techniques in big data analytics.

Conceptualized and developed prototypes for standardized ROI modeling systems

• Focused on scalability, optimization, process efficiency and statistical robustness.

Developed data-driven solutions for strategy and spend optimization

• Developed cost forecasting methods, media scenario simulation and spend optimization algorithms leading to marketing cost reductions and increasing operational efficiencies.
• Worked with stakeholders to develop quarterly roadmaps based on impact maximization, agile business needs, adaptability and cross-functional coordination

Built end-to-end MMM solutions ready to production.

• Included automated feature transformation, diagnostics and collaborative workflow optimization.
• Implemented automated data pipelines, improving efficiency of data collection and processing across the team.

Coached and mentored data scientists and DS managers on MMM & ROI project delivery.

• Training on domain-specific statistical conceptualization, methodology, robust workflows and performance evaluation.
• Led training on ML practices, advanced analytics and marketing measurement

Increased model velocity through automation and agile management

• Performance increased from 1/quarter to 5-10/quarter per data scientist with workflow automation and optimization

Led data science efficiency strategies and best practices

• Modeling and measurement approaches, guidelines and technical documentation
• Developed and implemented industry gold standard best practices and business alignment methods.
• Conducted extensive research on industry trends, driving continuous improvement in company practices and methodologies.

Strategic development of DS/ML technical strategy

• Drove business value through behavioral data modeling customized to the gaming industry
• Managed implementation of innovative audience segmentation and targeting analytics

Developed custom measurement approaches

• Enabling translation of online psychometric and audience data into actionable insights.

Leveraged advanced statistical methods applied to large unstructured datasets

• Contributed to the development of the company's proprietary machine-learning algorithm core clustering methodology.

Translated technical findings and complex ideas into easy-to-relate terms and concepts for stakeholders and non-technical team members.

Lead Data Scientist

Technical lead of a team of data scientists/engineers

• Focused on developing innovative machine learning and data science tools for cutting edge adaptive educational products

Contributed to the creation of a data-driven system using machine learning.

• Transformed an expert-driven adaptive engine into an behavior detection ML-driven engine.

Built a predictive modeling system prototype.

• Using combined GBM models to estimate in real time success and engagement metrics.
• The new data-driven methodologies created led to a reduction of the user time needed for evaluation by 40% on average.

Senior Data Scientist

Developed and prototyped ML analytics methods for user-experience optimization

• Worked within the ML research & development team focusing on leveraging in-session data for personalized learning optimization.
• Created predictive modeling systems for behavior analysis using ensemble learning methods.
• Developed an ML-based detection system to identify user wheel-spinning/struggling behavior to proactively increase engagement and reduce session abandonment.
• Collaborated on the organization's R&D strategy with leading researchers in education, cognitive science and engineering to develop the next generation of ML/AI learning analytics and

• Data analytics for user experience (UX) research projects
• Mined psychophysiological data to uncover patterns in user response to advertisements. Developed an EM method with mixed effects for EEG (brain activity) data.

Proposed robust nonparametric approaches for large datasets.

• Variable screening method for high-dimensional data.
• Multivariate nonparametric regression method for finite mixture models

• Collaborated on research projects for the Department of Information Technologies.