Davide Totaro Email & Phone Number

San Francisco, Ca, Us

- Responsible for the design and implementation of the first Holdout experimentation iteration; the project involves cross-functional efforts across all departments and regular communication with technical and business leaders- Integrated multiple 1st and 3rd party user-level data sources to boost targeting efforts and user understanding; the final tables unlocked opportunities across numerous departments, including Product, Marketing, Content, and Ads- Conducted analyses for high-priority definitions describing cumulative user growth and acquisition efforts; examples: Growth Accounting, Churn period- Supported PMs in quantifying the impact of roadmap initiatives to prioritize the projects with the highest potential

Collaborated with third-party companies to:- Support content acquisition planning- Enhance search functionalities and experimentation to increase CTR and conversion rates- Support Growth campaigns' analytical pipeline- Support Product feature insights and experimentation

San Francisco, Ca, Us

- Initiated and managed the collaboration with key company stakeholders to jumpstart the data-driven efforts of their various teams- Guided direct reports to successfully integrate themselves within technical and non-technical teams to build the required tools and derive insights through analyses- Led the efforts in hiring, mentoring, and managing junior figures who themselves became managers or were promoted - Proud of making all new hires feel welcomed and not isolated during the pandemic

San Francisco, Ca, Us

- Part of the initial 3-person Data Science team that helped shape the data-driven mindset of the whole company- Established key metrics and definitions, including Aha Moment and Power User, using unsupervised learning and statistical techniques. These definitions shaped company-wide strategies around user acquisition and retention as well as content acquisition- Designed a search engine feature leveraging ML embeddings to surface relevant catalog items for queries with empty results. After the A/B test showed a +20% increase in Click-Through Rate (CTR), the feature was deployed in production for years- Collaborated in the design of the initial A/B testing pipeline that helped scale the product experimentation efforts- Conducted analyses and designed models based on user behavior data, providing actionable insights to multiple departments, including Product, User Acquisition, Growth, Marketing, Content

San Francisco, Ca, Us

- Designed a Recommender System for Cold Start cases, improving the performance of the existing algorithm while reducing unsubscribed customers- Deployed Python modules in production and internal tools for offline testing of the Recommender System- Worked on Supervised and Unsupervised Learning tasks, including: model training; model selection; feature engineering, selection and reduction; parameters' fine-tuning- Designed and tested "ad hoc" Recommender System approaches employing content-based, context-based, and collaborative information- Performed statistical analyses supporting business-driven decisions, consisting of A/B tests, correlations, statistical significance examination, graph-based exploration- Created demos, prototypes, slides, and data visualizations for stakeholders and Senior Leadership Team

San Francisco, California, Us

- Conducted Machine Learning studies for Supervised and Unsupervised Learning projects- Designed and implemented algorithms based on Computer Vision and Image Processing- Extracted high-level information from image datasets- Created Data Visualizations to support business decisions with clients- Managed and coordinated technical teams by planning and executing research and production projects

- Designed and developed Web resources for third-party clients- Performed data analysis for Data Visualization/infographics projects- Designed and developed Android apps for third-party clients- Performed UX, UI, and graphic design of Web and mobile projects

- Successfully designed and developed hardware and software pieces for interactive/multimedia projects, as well as physical computing prototypes for third-party clients - Designed and developed multimedia Web apps and prototypes - Worked in heterogeneous teams during concept generation stages for art and design projects - Performed sound design analysis for interactive/multimedia projectsMain clients: Volvo Trucks, Milan Design Week, Digital Con-Temporary Museum

Rome, Italy, It

- Conducted several Machine Learning studies on mood-based music datasets- Designed a graph-based recommendation engine- Performed semantic text analysis on music-related databases using Natural Language Processing (NLP) techniques- Successfully reported updates, future plans and complex technical concepts to the company's investors- Communicated with other companies regarding possible partnerships

- Instructed university students and professionals in the use of Open Source tools for the realization of Digital and New Media Art projects- In charge of workshop syllabus and business plan

Master Of Science (Msc), Sound Engineering And Design

Electronic Music

Bachelor Of Science, Computer Engineering