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Liana E. — Mid-Level AI Automation and Operations Specialist from Philippines

Liana E.

Mid-Level AI Automation and Operations Specialist

Philippines 3-6 years 1000 USD per month
Open to offersNew to Platform
Languages
EnglishTagalog
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About

Liana N. is an accomplished AI Automation and Operations Specialist with over three years of experience in designing production systems for B2B, e-commerce, and service businesses. She expertly combines her hands-on automation-platform engineering skills with a foundation in data science and machine learning. Her work involves building robust production automations using platforms such as Make, Zapier, and self-hosted n8n, whereby consolidating fragmented data across platforms into a single, reliable relational source. With proficiency in relational data architecture, Liana designs Airtable databases to serve as the backbone of multi-stage business workflows. Emphasizing data reconciliation and hygiene, she ensures data integrity across systems, while creating dashboards that provide actionable insights for day-to-day business decisions. As an independent contractor, she has built comprehensive B2B order-processing automation systems, consolidated legacy systems with modern solutions, and integrated AI tools like OpenAI and Claude into operational workflows. She is currently advancing her skills as a data scientist in a confidential full-time role, with expertise spanning computer vision, NLP, and AI-driven analytics on platforms such as AWS and Azure.

Experience

  • Independent Contractor — Automation & Operations Systems

    null · 2025 — Present
    Developed a comprehensive B2B order-processing automation consisting of 11 stages and over 20 scenarios for an international trading company, which involved AI-based document extraction and a normalized Airtable relational database for supplier comparison. Created a self-hosted n8n pipeline that integrated a legacy accounting platform, CRM, and Azure SQL, resulting in live dashboards for financial decisions while troubleshooting API failures. Reconciled 324 SKUs for an e-commerce client by categorizing records and identifying discrepancies. Automated a CRM pipeline utilizing Make and Monday.com, ensuring seamless transitions through sales and onboarding processes while implementing filters to avoid duplicate records. Developed an AI agent to assess support tickets against SOPs with a knowledge base, as well as an AI voice assistant for service bookings with automated CRM entries. Provided SOPs and training documentation with each system build for maintenance purposes.
  • Data Scientist

    Confidential · 2022 — Present
    Engaged in data science and machine learning focusing on areas such as computer vision, natural language processing, AI-driven analytics, and cloud data engineering leveraging AWS and Azure.

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