Cesare Bedin

Senior Data Scientist

StreamElements • Full time

Dec 2021 - Oct 2025 • 3 yrs 10 mos

-Drove product strategy and optimization for multiple product lines by delivering actionable data insights, including dashboards, deep-dive ad-hoc analyses, and machine learning powered recommendations across departments. - Partnered closely with a team of data scientists, designing and maintaining dbt data pipelines to ensure data quality, model reliability, and efficient execution in production. - Developed and deployed machine learning solutions to improve user targeting and personalization, leveraging behavioral signals and features engineered from multiple datasets. - Designed and implemented a complete BI architecture on top of Google BigQuery using dbt, enabling scalable, self-serve analytics and consistent metrics for stakeholders across the organization.

Senior Product Analyst

Delivery Hero

Dec 2020 - Dec 2021 • 1 yr

As a Product Analyst in the Recommendations team, I focused on A/B testing and experimentation to optimize recommendation quality and user experience. I worked closely with product, data science, and engineering to design and analyze experiments, define success metrics, and translate results into clear, actionable product decisions. By combining experimentation best practices with strong analytical skills, I helped drive measurable impact on conversion, engagement, and long-term user value.

Product Analyst

Zalando • Full time

May 2018 - Dec 2020 • 2 yrs 7 mos

During my experience at Zalando I worked as Product Analyst for the Recommendation team, responsible for the onsite Recommender systems, and the Home Content Personalization team, responsible for ranking and personalizing content on the Homepage. Some of the tasks were: - AB testing new features: definition of success KPIs, sample size calculation, statistical analysis and results interpretation - Defining and monitoring the right KPIs to assess the financial and engagement performance of recommendations across the website (using Google BigQuery and Data Studio) - Identify patterns and opportunities to develop products based customer behavioral data During my experience at Zalando I worked as Product Analyst for the Recommendation team, responsible for the onsite Recommender systems, and the Home Content Personalization team, responsible for ranking and personalizing content on the Homepage. Some of the tasks were: - AB testing new features: definition of success KPIs, sample size calculation, statistical analysis and results interpretation - Defining and monitoring the right KPIs to assess the financial and engagement performance of recommendations across the website (using Google BigQuery and Data Studio) - Identify patterns and opportunities to develop products based customer behavioral data