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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 analysis.
    • Develop Python web scraping solutions (BS4/Selenium-Playwright depending on the site) to extract data from directories and dynamic pages, including pagination, retries, and robust error handling.
    • Extract and structure data from documents (PDF/Word/scans) using OCR and manual review, ensuring accuracy, traceability, and consistent formatting for use in Excel or databases.
    • Conduct research and data collection across multiple domains, validating, and standardizing information (prices, metrics, catalogs, specifications), including translations when needed.
    • Perform data annotation following client guidelines, applying quality control, consistency checks, and 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.