Data Analyst

– Developed and implemented data queries and visualizations in SQL and Power BI to extract insights, driving
improvements in metadata reporting solutions and supporting the launch of Apple Sing.
– By analyzing the process of metadata reporting, my team could identified inefficiencies in data workflows.
Implementing Python, SQL and Power BI to create streamlined visualizations, we reduced the time spent on
data analysis and improved accuracy, which is a key aspect of BPA, enhancing process efficiency.
– Created procedures and workflows to support music metadata alongside extensive LLM and NLP to improve
machine learning capabilities.
– Collaborated with business and technical stakeholders to design and implement metadata usage and
reporting solutions, using Excel and Powerpoint to present datasets for stakeholders.
– Ensured quality and integrity of metadata by providing regular feedback to engineering teams with use of
technical writing while leveraging quality assurance on ongoing projects.
– Supported the Apple Sing launch in 140 countries by ensuring lyrics and original content remain of high
quality, providing feature enhancement suggestions in 4 different languages (Spanish, Portuguese, Italian, and
English).

– Conducted in-depth research and moderation of social media content to protect the community from harmful
content, using various methods of data annotation and analysis to compile useful data on finding harmful
trends in user behavior.
– Utilized statistical analysis to enhance content moderation strategies and policy development using internal
tools that mimic SQL to improve data retention.
– Collaborated with business and technical stakeholders to design and implement metadata usage and
reporting solutions, using Excel and Powerpoint to present datasets for stakeholders.
– Collaborated with cross-functional teams to address gaps in threat response processes.
– Assisted in developing LLM-based Q&A models for single and multi-turn conversations to enhance content
moderation and policy development.
– Utilized location-based skills in Portuguese BR and Spanish to improve data annotation accuracy and
relevance, supporting community protection efforts.

– Moderated live stream content, applying demographic analytics to safeguard the TikT ok community online
resulting in a 36% increase in the removal of violating content.
– Employed GenAI proprietary software to enhance user experience and internal workflows, decreasing time
spent on QA.
– Built and maintained data infrastructure, conducted data cleaning, troubleshooting, and road mapping,
ensuring accurate KPIs, which feed the machine learning algorithm for better performance.
– Identified issue areas by analyzing policies and independently provided solutions & improvement insights to
relevant teams, helping make dynamic changes to policies resulting in 10% more removal of ‘videos before
views,
’ protecting the overall safety of users.
– Applied location-based language skills in Portuguese BR and Spanish to refine content filtering processes
and enhance community safety protocols.
– Conducted A/B testing on new and upgraded moderation policies, analyzing outcomes to refine and
implement the most effective strategies for protecting the platform’s community

Responsible for data quality across Google Play Games, Google Play Music/YouTube Music Stores.
– Employed SQL and Power BI on one of workflows for data quality assurance and large dataset analysis to
maintain music content accuracy on Google Games/Play Music and YouTube Music.
– Analyzed large datasets in 4 different languages ensuring music content accuracy across the Americas and
Europe. Utilized tools such as Google code La, integrating YouTube Music’s APIs for data analysis.
– Collaborated with business and technical stakeholders to design and implement metadata usage and
reporting solutions, using Excel and Powerpoint to present datasets for stakeholders.
– Coordinated data migration plans across various teams to transition from Google Play Music to YouTube
Music with the support of Google Apps Script, creating a more efficient workflow while efficiently prioritizing
relevant content.
– Ensured that quality on software and metrics were consistent by analyzing potential changes in lines of code
caused by new feature implementation during the transition from Google Play Music to YouTube Music. This
included management of API quotas, robust analysis to decrease human error and data accuracy to ensure
time-saving on tasks, and excellent user experience.