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Hi, I’m Brenda Mora—a data-driven AIML professional who thrives at the intersection of data science, product development, and people. At Apple, I helped label data, pilot ML experiments, and refine guidelines to boost model performance, while collaborating across product, engineering, and operations teams to deliver higher-quality features. Before that, I supported engagement and content initiatives at Apple and Accenture, and I brought a customer-service mindset from a banquet-ops background. I enjoy turning complex data into clear insights, mentoring teammates, and building inclusive, results-focused programs that connect people across remote and multi-site teams.…Hi, I’m Brenda Mora—a data-driven AIML professional who thrives at the intersection of data science, product development, and people. At Apple, I helped label data, pilot ML experiments, and refine guidelines to boost model performance, while collaborating across product, engineering, and operations teams to deliver higher-quality features. Before that, I supported engagement and content initiatives at Apple and Accenture, and I brought a customer-service mindset from a banquet-ops background. I enjoy turning complex data into clear insights, mentoring teammates, and building inclusive, results-focused programs that connect people across remote and multi-site teams.

Brenda Mora

Data Analyst, AI Engineer, Content Producer, +2

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Hi, I’m Brenda Mora—a data-driven AIML professional who thrives at the intersection of data science, product development, and people. At Apple, I helped label data, pilot ML experiments, and refine guidelines to boost model performance, while collaborating across product, engineering, and operations teams to deliver higher-quality features. Before that, I supported engagement and content initiatives at Apple and Accenture, and I brought a customer-service mindset from a banquet-ops background. I enjoy turning complex data into clear insights, mentoring teammates, and building inclusive, results-focused programs that connect people across remote and multi-site teams.…Hi, I’m Brenda Mora—a data-driven AIML professional who thrives at the intersection of data science, product development, and people. At Apple, I helped label data, pilot ML experiments, and refine guidelines to boost model performance, while collaborating across product, engineering, and operations teams to deliver higher-quality features. Before that, I supported engagement and content initiatives at Apple and Accenture, and I brought a customer-service mindset from a banquet-ops background. I enjoy turning complex data into clear insights, mentoring teammates, and building inclusive, results-focused programs that connect people across remote and multi-site teams.

Available to hire

Hi, I’m Brenda Mora—a data-driven AIML professional who thrives at the intersection of data science, product development, and people. At Apple, I helped label data, pilot ML experiments, and refine guidelines to boost model performance, while collaborating across product, engineering, and operations teams to deliver higher-quality features. Before that, I supported engagement and content initiatives at Apple and Accenture, and I brought a customer-service mindset from a banquet-ops background. I enjoy turning complex data into clear insights, mentoring teammates, and building inclusive, results-focused programs that connect people across remote and multi-site teams.

Skills

Data Visualization

AI Data Labelling

Experience Level

Data Visualization

Intermediate

AI Data Labelling

Intermediate

Work Experience

Banquet Server at SoHo Events.

June 1, 2025 - Present

Collaborated closely with catering staff including chefs, bartenders, and event managers to coordinate service and ensure smooth, high-quality event execution. Prepared and broke down event spaces, including dining and buffet areas; setting up linens, tableware, décor, and managing food transport and post-event cleanup. Delivered professional guest service by greeting attendees, addressing questions and special requests, and serving food and beverages efficiently in line with event standards. Maintained cleanliness and organization throughout events by monitoring food and beverage stations, replenishing supplies, and clearing tables and used items promptly.

AIML Data Analyst at Apple Inc.

October 1, 2019 - June 1, 2025

Provided software support and peer training, mentoring team members using best practices to enhance performance, knowledge sharing, and professional growth. Supported core and non-core operational projects from planning through implementation, contributing to the development of new features and process improvements. Conducted research, piloted software, and analyzed diverse data types (text, image, audio, video) using internal iOS/macOS tools to improve product quality, operational efficiency, and device performance. Ensured high-accuracy data labeling and annotation to support machine learning models; collaborated cross-functionally to refine guidelines, optimize model performance, and maintain confidentiality standards.

AIML Employee Engagement Coordinator at Apple Inc.

October 1, 2024 - June 1, 2025

Organized and delivered numerous employee engagement initiatives, ensuring all events were inclusive and accessible, fostering a more connected and motivated work force. Spearheaded the redesign of the internal Chorus web page, resulting in a 100% increase in site traffic. Oversaw engagement initiatives for the AMR Data Operations site, managing project plans, timelines, budgets, and resources for a team of approximately 300 employees, with a strong focus on inclusivity and accessibility. Evaluated project outcomes and communicated progress to senior leadership, offering actionable insights and recommendations for continuous improvement, including strategies to enhance inclusivity in future projects. Spearheaded team engagement events during a period of organizational change, fostering connection and morale across remote and multi-site teams.

Social Media Content Analyst at Accenture Flex.

October 1, 2018 - August 1, 2019

Monitored user content: assessed user-generated posts, images, videos, and comments for community standards. Enforced policies: removed or flagged violating content and efficiently handled users' reports. Maintained safety: identified potential threats and misinformation and fake accounts. Collaborated and reported: partnered with teams to enhance moderation guidelines and tools, providing reports on content trends.