Raquel M

Independent AI & E-commerce Projects

Entrepreneur • Autônomo

Oct 2024 - Present • 1 yr 7 mos

- Built an end-to-end LinkedIn publishing pipeline in Cowork using five custom skills and two scheduled tasks, with AI drafting against a 47-story content bank, automated 1200x1500 image rendering per topic bucket, Gmail review drafts, and Blotato API publish via one chat command. - Agentic AI upskilling: Completed hands-on training and certifications in prompt engineering for software developers, AI agents, Claude Code Skills, and developer-focused GenAI workflows through Microsoft, Anthropic, DeepLearning.AI, and Udemy. - E-commerce entrepreneurship: Built and launched a live Etsy shop (Become The Sun), applying AI and e-commerce marketing skills to create and market print-on-demand products. - Digital product strategy: Developed products including 100 Prompts for Job Search, Job Search Tracker, and AI Prompts for Analytics using AI-driven product research, niche analysis, and pain-point discovery. - AI-powered merchandising: Used AI to create product designs, listing images, titles, descriptions, and keyword strategies, strengthening practical experience in digital merchandising, SEO, and audience-focused positioning.

Manager of Digital Analytics

Ecommerce

Oct 2023 - Oct 2024 • 1 yr

AI-accelerated SQL development: Used ChatGPT to speed up SQL query drafting, join logic, and date logic, then validated outputs with row counts, duplicates, and spot checks in BigQuery before sharing results. GA4 governance + AI-enabled QA: Strengthened GA4 tracking quality by using AI to help generate QA checklists and validation logic for event tracking, null checks, freshness checks, and schema reviews, improving trust in downstream reporting. Data structures + KPI definitions: Partnered with leaders to define KPI definitions and success metrics, aligning reporting across teams and reducing metric confusion. Scalable dashboards: Designed and deployed Tableau dashboards consolidating KPIs into a single source of truth for executives and department leaders. Automation: Automated reporting workflows, reducing manual effort by 60% and improving the speed and reliability of weekly reporting. Stakeholder enablement: Ran recurring “data office hours” and weekly insight reviews to clarify requirements, prioritize work, and drive adoption of self-serve BI. Executive storytelling: Presented performance insights and recommendations to senior executives, translating complex data into clear actions tied to business goals.

Senior Manager of Analytics

Marketing • Período integral

Nov 2019 - May 2023 • 3 yrs 6 mos

Promoted to the role of Senior Manager of Analytics, recognized for exceptional expertise in driving data-driven strategies to optimize business processes, improve efficiency, and enhance decision-making capabilities. Client-facing machine learning partnership: Served as the analytics lead between enterprise clients and the Data Science team, translating business goals into clear ML use cases, setting expectations, identifying data limitations, and communicating project logic and outcomes back to stakeholders. Machine learning project scoping: Led discovery conversations to understand client business needs, define success criteria, and surface blockers early, ensuring Data Science solutions were aligned to measurable marketing and attribution goals. SQL data extraction for ML workflows: Pulled and prepared data using SQL to support machine learning models, acting as the bridge between client requirements and technical execution. Fuzzy matching + attribution improvement: Partnered with Data Science on fuzzy matching logic to connect orphaned sales records to customer IDs, improving attribution coverage and giving clients a clearer view of campaign performance. Predictive modeling + email optimization: Supported predictive modeling projects for email subject line optimization by translating business needs into modeling inputs and helping communicate process, expectations, and results to clients. Look-alike modeling + audience targeting: Helped scope and support look-alike modeling projects built from best-customer profiles, enabling more targeted marketing lists and stronger audience acquisition strategies. Dashboards at scale: Designed and scaled Tableau dashboards integrating CRM, ads, and GA data into executive-ready visuals and KPI scorecards. Definitions + documentation: Documented metric logic and validated pipelines as the bridge between technical teams and stakeholders, improving reliability and reusability. Team mentoring: Managed and mentored analysts