Edwin Ramirez Email & Phone Number

California, United States

California, United States

Culver City, Ca, Us

- Created dashboards for Crunchyroll's eCommerce Store that highlighted sales KPI's along with identifying segments of users engaged with both VOD Apps and eCommerce - Collaborated with product teams to define analytics track events for Crunchyroll's VOD applications, eCommerce store, search metrics, video player events, error events, checkout funnels, etc. Data pipelined from Segment to reporting tools and certified data sources. - Provided reporting on the migration of RightStuf users into the Crunchyroll Store and analyses on the cross catalog performance of the newly merged inventory. This led to insights on retention efficiency of migrated users after Sony's Acquisition of RightStuf and insights on new user engagement with the expanded catalog. - Created and defined fraud metrics reporting in Tableau using a combination of viewership metrics, video player event data, error data, and Mux performance metrics. In collaboration with the Trust & Safety teams and Secure Playback teams this initiative effectively led to identifying abused and stolen accounts in mass based on excessive viewership and locale abuse. - Supporting Crunchyroll's initiative to provide reporting on the new digital supply chain management system. This will provide visibility on the delivery and lifecycle of video metadata as content is delivered to various distribution channels- Supporting product teams through statistical analysis reporting to provide insights on requests pertaining to churn metrics, viewership, application performance, subscriptions, fraud, retention, etc. - Supporting engineering, subscription, eCommerce and product teams through A/B testing and causal impact analyses to validate experiments and feature rollouts to various streaming application platforms- Supporting product teams through ad-hoc requests pertaining to data validation, and certifying documenation and dashboard reporting on Tableau, Mixpanel, Databricks and Preset for unified reporting.

San Mateo, California, Us

- Managed B2C company dashboards focusing on user traffic, KPI metrics, demographic breakdowns, and analyses of customer engagement- Collaborated with engineering teams to improve analytics tracking on B2B deployments in order to provide clients with in-depth analyses on user journeys through accelerator programs and community hubs - Improved the tracking of subscription tiers and cancellations to better monitor churn rate. This provided more accurate quarterly reports on revenue, engagement, and customer success for company stakeholders - Managed the implementation of marketing tools, such as Facebook Pixel and Google Tags in order to A/B test the effectiveness of various campaigns- Developed machine learning models to effectively target users more likely to engage with marketing campaigns, and identify deeper insights on user types- Conducted clustering research to implement recommendation models to improve the customer experience through curated feeds and content recommendation for services and content on One Valley's B2C Platform

Campbell, California, Us

- Created python scripts that improved pattern detection on user activity, and were used to map the full customer journey. These metrics were used to analyze the most common sequences of user behavior associated with churn. - Developed machine learning models that effectively predicted customers that were more likely to cancel their subscriptions, and thus this provided actionable insights in reducing churn rate- Designed B2B applications that allowed company clients to login and view private dashboard metrics on KPI metrics and results of the models developed.

Sacramento, Ca, Us

- Led a team of other intern analysts to conduct research and design machine learning models focused on sequence analysis to classify users that are more likely to resell tickets- Effectively identified the most common sequences of events in the customer’s journey that could be used for behavioral prediction. This improved the rate of identifying which seating tickets were more susceptible to be resold.

CMPS12B: Data StructuresCMPS11: Intermediate ProgrammingCMPS5J: Intro to Programming CMPE8: Robot AutomationCMPE9: Vector Mechanics

Master Of Science - Ms, Data Science

Bachelor'S Degree, Computer Science