Pengwei Wang

Pengwei Wang Email and Phone Number

AI Engineer @ Palo Alto Networks
Santa Clara, CA, US
Pengwei Wang's Location
Austin, Texas, United States, United States
About Pengwei Wang

I am an analytics professional who loves leveraging data to solve complex business problems. Before pursuing my Masters at the McCombs School of Business, I worked as a Supply Chain Analyst at a consulting firm in London, UK, where I was credited for using analytics and problem-solving skills to generate unique business opportunities. As a Taiwanese American who grew up in China, my multicultural upbringing has helped me find success and embrace working with individuals from all walks of life, across different communities. I am excited to bring my data-driven skills and diverse experiences to any organization I am a part of in the future. In my downtime, I am also an avid car enthusiast; I love high-performance driving and studying about vehicle dynamics.

Pengwei Wang's Current Company Details
Palo Alto Networks

Palo Alto Networks

View
AI Engineer
Santa Clara, CA, US
Website:
deloitte.com
Employees:
295722
Pengwei Wang Work Experience Details
  • Palo Alto Networks
    Ai Engineer
    Palo Alto Networks
    Santa Clara, Ca, Us
  • Deloitte
    Technical Business Analyst - Ai & Automation
    Deloitte Jul 2023 - Present
    Austin, Texas, United States
    • Developed comprehensive technical documentations for AI & Automation initiatives, including solution architectures, detailed process flows, and technology stacks.• Designed and deployed scalable data extraction pipelines using Azure Document Intelligence to extract unstructured data from various types of documents. • Supported development of Advisory's AIOps platform to monitor and evaluate AI model LLM responses for accuracy, relevance and hallucinations.• Implemented effective prompt engineering methods such as few-shot learning and chain-of-thought to iteratively improve LLM results.• Applied hybrid search, cross-encoding rerank and other advanced retrieval techniques to improve the context accuracy within RAG systems.
  • Burlington Stores, Inc.
    Data Scientist - Capstone Project
    Burlington Stores, Inc. Jan 2023 - May 2023
    Austin, Texas, United States
    • Developed asset protection models to quantify the impact of shortage & damaged items on sales.• Designed interactive dashboard to identify patterns across stores and track store-wise sales loss.• Presented strategic insights & recommendations to non-technical audience at the 2023 Retail Industry Leaders Association (RILA) conference.
  • Pkwg Ltd.
    Supply Chain Analyst
    Pkwg Ltd. Jan 2022 - Jun 2022
    London, England, United Kingdom
    • Managed inventories, analyzed supply chain patterns and generated profit & loss reports using Excel & Tableau• Negotiated and finalized franchisee contracts for TeaWork at the International Franchise Show• Utilized SEO & email campaigns to increase online traffic by 38% for Whisky Project• Created B2B trading opportunities through building relationships with local distilleries and distributors, reduced supply costs by 16% for select products
  • Bank Of China
    International Trade Analyst
    Bank Of China Aug 2021 - Oct 2021
    Chongqing, China
    • Prepared and revised internal documents such as credit memos and export declaration forms• Conducted in-depth industry & client analysis, connected local corporation with overseas companies and provided custom financial solutions to facilitate a deal of over $150,000 in revenue

Pengwei Wang Education Details

Frequently Asked Questions about Pengwei Wang

What company does Pengwei Wang work for?

Pengwei Wang works for Palo Alto Networks

What is Pengwei Wang's role at the current company?

Pengwei Wang's current role is AI Engineer.

What schools did Pengwei Wang attend?

Pengwei Wang attended The University Of Texas At Austin, Syracuse University, Bullis School, Avon Old Farms, Syracuse University, Syracuse University.

Who are Pengwei Wang's colleagues?

Pengwei Wang's colleagues are Daniel Mason, Cpa, Ca, Julie Jaroszewicz, Kanchi Sheth, Ankita Bartwal, Katerine Ortiz, Rekha Ravindran, Darshana Singh.

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