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About

Ricardo Urdaneta

Hi, I'm Ricardo Urdaneta. I'm a Data Analyst with experience transforming complex data into clear, actionable insights.

I use Power BI, Tableau, Python, and SQL for data cleaning, analysis, visualization, and report automation. I also have knowledge of AWS and GCP to support data pipelines and storage.

I have Machine Learning knowledge applied to specific prediction and segmentation cases. I focus on understanding the root problem, ensuring data quality, and communicating findings clearly.

Links

Experience

  1. Freelance Data Analyst - Upwork.com

    • Clean and consolidate complex datasets using Python and Excel to ensure data integrity and readiness for business intelligence analysis.
    • Engineer web scraping solutions in Python (BS4/Selenium-Playwright) to extract data from directories and dynamic pages, implementing pagination, retries, and robust error handling.
    • Conduct remittance research and data collection, including the standardization of fees, commissions, exchange rates, and payment methods across multiple providers.
    • Execute data annotation tasks following strict client guidelines, ensuring quality control and effective escalation of ambiguous cases.

  2. Data Labeling Analyst - Dataminr

    • Conduct real-time manual auditing and classification of large-scale unstructured data (social media) based on categorization policies (relevance, event type, and risk level), reducing noise and refining event detection models.
    • Collaborate with technical teams to optimize data workflows and reporting by identifying and flagging inconsistencies and ambiguous edge cases.
    • Establish quality control procedures to monitor information consistency and maintain high standards of data accuracy.

  3. Front Desk - Hotel Plaza San Francisco

    • Resolve guest inquiries and incidents with a focus on customer experience through clear communication and empathy across in-person and digital channels.
    • Manage check-in/check-out and billing operations, ensuring 100% accuracy in charges, documentation, and daily financial closures.
    • Monitor operational KPIs (occupancy, no-shows, and overbooking) and generate reports to support strategic room assignment and planning.
    • Coordinate logistics and reservations across hotel departments with high precision and efficiency.
    • Streamline administrative processes to reduce response times and improve overall workflow.
    • Facilitate the training of new staff members to uphold premium service quality standards.