Led the product team and drove the product vision, strategy, and roadmap. I worked closely with engineering, data insights, customer success, and sales teams to deliver product features that enable businesses to unify and optimize their customer journeys. I am passionate about tidying and extracting insight from data, practicing movement, and learning. I am motivated by the mission of Scuba Analytics to empower brands and businesses to delight their customers by harnessing real-time customer intelligence.

Lead the platform ecosystem. Managed IoT, Software Agents, and Cloud Connector products. Collaborated with Engineering, Data Insights, CS, and Sales teams to deliver product features that supported customers and partners.About Tetrascience:TetraScience is the leading global R&D Data Cloud company, founded by former researchers from Harvard and MIT to transform life sciences R&D, accelerate discovery, and improve human life. TetraScience is the industry’s only enterprise-grade open data cloud, providing life sciences companies with the flexibility, scalability, and data-centric capabilities to enable easy access to centralized, standardized, and actionable scientific data. As an open platform, TetraScience has built the largest network of lab instruments, informatics applications, CRO/CDMOs, analytics and data science partners, creating seamless interoperability and an innovation feedback loop that will drive the future of life sciences R&D.

Enabled the company to improve product-market fit through implementing new processes to gather and increase the visibility of important customer needs, finding alternatives to service customers, and focusing engineering efforts.Owner of Humanyze product strategy:- Map business strategy to product objectives and drive an ongoing 12-month product roadmap - Pitched and implemented processes and supporting tools to executive leadership that improved the management and visibility of customer requests, customer feedback, and the product roadmap- Defined and lead the customer discovery and persona development process- Built product prototypes through sketching and BI tools that helped to adopt alternative ways to serve our customers and to accelerate learning product requirements- Mentor and oversee Product Owners and members of Engineering & Analytics teams- Spearheaded the design and adoption of big data infrastructure (EMR/Spark) that boosted IoT data ingestion over 10x and enabled the development of scalable analytics solutions that reduced processing cost 98%

Managed Data Pipeline, Analytics, and Hardware & Software Data Collection solutions. Achieved major scalability improvements.Product Owner of Data Pipeline & Analytics- Launched new data preparation product that speed up data analysis from weeks to days- Optimized analytics tools that enabled analysis of interactions among +100k participants (from a previous ceiling of 12k participants)Product Owner of Data Collection solutions- managed 3rd party consulting project to assess the future of sensor-based data collection- designed and managed new product for sensor-based data collection with low intrusion and high compliance, which was sold to major customer for the analysis of interactions among 2400 people- improved software data collection solution to extract additional digital communication channels (Slack and Microsoft Teams)

Product Owner of Administration Module, Digital Insights Portal, and Hardware data collection solution. Launched 2 major products.Product management of SaaS platform- feature definition and design of administration module- feature definition, management, and launch of digital analysis module- improved UI and built API of data extraction toolProduct management of hardware data collection IoT system- management of hardware data acquisition product- definition and management of hardware product functionality testing- feature definition and management of sensor data transfer solution- designed and managed internal pilot- validation and product launch

Product Marketing and Strategy Lead of B2B SaaS platformLead go to market, pricing strategy, business development, and product refinement of a SaaS product. An analytics platform to drive custom goals in B2C mobile applications through the delivery of targeted interventions (e.g., push notifications, sms messages, dashboards, peer/caretaker support, etc.). Key contribution to market assessment, product pilots, and product requirements definition. The product showed 20-70% lifts in engagement in major retailer and pharma companies.

Senior Mobile & Digital Strategy ConsultantAdvanced Analytics Subject Matter ExpertLead strategy consulting engagements to deliver mobile, digital, and data collection recommendations for clients. Consulted 20+ clients, multiple being Fortune 500 organizations in retail, pharma, healthcare, and tech sectors among others.The responsibility included:- overseeing and conducting competitive analysis and market research- conducting executive stakeholder interviews- analyzing mobile and digital opportunities, including ROI analysis- collaborating with engineering and UX to build wireframes, prototypes, and tech recommendations - presenting recommendations to clients- designing in-app data capture to measure business goals- planning and directing custom data science projects to build MVPs for market validation- advising in advanced analytics tools (e.g., leveraging Spark/Cassandra for recommender system)

Research Engineer - Software Development of Machine Learning ProductsDeveloped machine learning products for speech user interfaces.Product Development: - Developed Machine Learning products for speech recognition, in coordination with international partners at Toshiba Semiconductor Co. (Japan) and Toshiba R&D (Japan and China). Successfully developed 4 products. Estimated 350k units sold in 2008.Data science- Managed multiple databases in several languages, amounting millions of data entries- Conducted data processing and curation, designed and managed data collection projects- Trained and tested predictive models - Improved training and testing algorithmsLeadership: - Designed and supervised data collections (€500k budget) with high-quality requirements and multi-national execution, resulting in a 30% performance improvement on the target product.Communication: - Visited customers to gather product feedback. Implemented solutions to enhance product performance and meet customer needs (e.g. 25% improvement in accuracy or dialectal speech robustness).

Research Scientist - Noise Robustness for Machine Learning ProductsR&D in noise robustness for machine learning, focussing in speech interfaces for home consumer products:- Invented a noise robustness algorithmic approach that boosted speech recognition performance by more than 50%. Co-authored and filed a patent (issued in May 2008).- Developed and presented tech prototypes to senior management. Attracted investment of €270k during internal restructuring.