Itay Sisso, PhD

• Worked on multiple observational causal inference designs at the heart of Loop's product - interrupted time series, survival models, dynamic treatments, forecasting, etc.
• Single handedly developed Loops proprietary Root Cause Analysis algorithms, which soon became the product's most requested feature. This includes - anomaly detection algo and multiple potential explainer types for any anomaly (segments, seasonality, holidays, AB tests, other KPIs, etc.).
• Worked on non-DS aspects of the product, including backend debugging, product work (designing and testing new UI features), client support, writing white-papers, documentations, talking in webinars etc.

- Implemented multiple experimentation methods (A/B tests, geo-tests)

- Leveraged advanced statistical modeling for marketing measurements (Synthetic control, MMM, Brand awareness surveys)

- Modeled events data and used it to build complex dashboards.

• Conducted end-to-end quantitative UX research (survey design, data analysis etc.) on products used by hundreds of millions of users.
• Worked with multiple product teams and XFNs.
• Worked with large amounts of users' logged data.

• Designed and ran high impact large field experiments.
• Used advanced quant methods to analyze data from experiments.
• Built software tools to automate and streamline statistical analyses.
• Guided and mentored other researchers and oversaw their work.

• Writing questions for the statistics entrance test for advanced degree in psychology (MITAM)

• Taught a BA class on Decision Making.

• Operations Research Branch