O

Olivia Pote

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Tower Hamlets, United Kingdom

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Résumé


Jobs verified_user 0% verified
  • Paddle
    AI Engineer
    Paddle
    Jun 2024 - Current (2 years 1 month)
    • Engineered AI Support Intelligence system that automatically analyzes Zendesk conversations to identify customer issues by topic and detect sentiment using OpenAI, delivering actionable insights at scale—processing 60K+ tickets weekly (138 tickets/minute) with zero failures via automated retries, achieving LLM inference costs $0.22/1K tickets through event-driven AWS architecture. • Developed a Personalized AI Email Outreach solution that helped Sales team engage C-suite prospects more effectively, generating $513K in ARR from 2 closed deals within 6 months. • Built backend for conversational AI chatbot capable of enterprise knowledge search using RAG, serving 280+ employees with instant access to company knowledge from Kustomer, Prism
  • T
    Technical Consultant - Financial Services Operations
    Sep 2023 - May 2024 (9 months)
    • Presented technical demo for QA Automation solution to senior stakeholders at a major Irish banking client, securing approval for full deployment on SAP S/4HANA migration project. • Delivered technical enablement workshops for 15+ stakeholders across Finance & QA teams, providing training on Python workflows for financial reconciliation and defect monitoring. • Designed and implemented a Python tool to automate monthly financial reconciliations, processing 160m+ transactions, and saving 15 hours per week of manual Excel work. • Led a cross-functional delivery team collaborating with Product, Engineering, and QA to develop and deploy an automated QA testing solution using Selenium and Java, accelerating SAP ECC to S/4HANA migration tes
  • H
    Data Analyst - FX Markets
    HSBC Global Research
    Jun 2021 - Jul 2022 (1 year 2 months)
    • Delivered quarterly FX risk analysis presentations to Apple, to provide actionable hedging recommendations for corporate risk management. • Built FX heatmap using Python, Pandas, and Seaborn to provide sensitivity insights across 140+ financial instruments, driving 20% increase in customer engagement. • Automated Bloomberg data analysis using Python, Pandas, and SciPy, reducing turnaround time for delivering insights to 5000+ clients by 90%.
Education verified_user 0% verified
  • University College London
    BsC Economics
    University College London
    Sep 2019 - Jun 2023 (3 years 10 months)
  • D
    International Baccalaureate 42/45 Points
    Dulwich College
    Sep 2016 - Jun 2018 (1 year 10 months)