David Huang

David Huang Email and Phone Number

Data Science Intern @ EVQLV | Columbia MSDS Fall 2023 @ EVQLV
new york, new york, united states
David Huang's Location
New York, New York, United States, United States
About David Huang

I am a Data Science graduate student with a strong foundation in data-driven problem-solving and analytics. Currently, I am working as a Data Science Intern at EVQLV, where I specialize in web scraping, data processing, and preparation to create highly accurate biological training datasets. In this role, I design and execute clear data pipelines while leveraging cutting-edge AI tools and prompt engineering techniques.My previous experience spans various domains, including building GenAI-powered chatbots, developing NLP financial tools, and conducting statistical research in social sciences. This diverse exposure has equipped me with the ability to quickly acquire domain knowledge and apply it effectively to solve complex problems.Outside of my academic and professional endeavors, I’m passionate about sports, especially volleyball. I was the captain of my college varsity volleyball team and now volunteer as an assistant coach for Fresh Tai Mei - the Taiwanese Volleyball team. I believe the values of teamwork, strategic thinking, and discipline in volleyball are invaluable and transferrable to any work environment.

David Huang's Current Company Details
EVQLV

Evqlv

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Data Science Intern @ EVQLV | Columbia MSDS Fall 2023
new york, new york, united states
Website:
evqlv.com
Employees:
5
David Huang Work Experience Details
  • Evqlv
    Data Scientist
    Evqlv Jun 2024 - Present
    New York, United States
    • Collect and preprocess 10 million+ biological XML text for antibody creation model using Regular Expressions and Pandas for data cleansing on GCP with Vertex AI, ensuring data readiness for subsequent analysis• Lead project to construct 100% accurate training datasets for predictive models, utilizing GPT-4o API for data extraction, focusing on prompt engineering to enhance AI response accuracy by 90% and reduce operational costs by 30%• Compile and organize contact information for 37k potential clients by cleaning data with text mining for accurate CRM import, boosting marketing initiatives and strengthened the sales pipeline, driving potential revenue growth by 10%
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  • Kpmg
    Data Scientist (Capstone)
    Kpmg Jan 2024 - May 2024
    New York, United States
    Capstone Project - Model Metadata Chatbot with GenAI)• Designed GenAI-powered chatbot utilizing LangChain to integrate LLM and Retrieval Augmented Generation (RAG) enhancing model risk management and effectively managing stakeholder expectations• Manipulated 391 nodes and 539 relationships in Neo4j graph database using Cypher Query and Python, managing upstream and downstream impacts; leveraged Streamlit to present chatbot interface and visualize the interconnectedness of nodes• Leveraged prompt engineering strategies to construct data retrieval prompt templates, reducing hallucinations, increasing efficiency by 50％+, while achieving 99％ accuracy for responses to common questions
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  • Academia Sinica, Taiwan
    Research Assistant
    Academia Sinica, Taiwan Sep 2021 - Dec 2022
    Taipei City, Taiwan
    Institute of Statistical Science• Analyzed 5 million+ data records to uncover correlation between age difference and Blood Alcohol Concentration levels among drivers in highway accidents, adjusting for sampling bias, enhancing understanding of risk factors• Resolved 30+ code bugs through collaboration with senior team members, ensuring 99% calculation accuracy and project success; translated complex findings into clear messages to faculty and audience• Executed simulation study applying parallel computing on PC cluster system, resulting in 40% reduction in analysis time; engineered testing algorithm for k-sample hypothesis test under biased sampling
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  • Creative Commons Taiwan, Research Center For Information Technology Innovation, Academia Sinica
    Research Assistant
    Creative Commons Taiwan, Research Center For Information Technology Innovation, Academia Sinica Sep 2021 - Jun 2022
    Taipei City, Taiwan
    Research Center for Information Technology Innovation• Enhanced financial report reviewing process by 200% with fintech NLP system, FISH, employing deep learning model BERT to automate text classification and similarity analysis, with research published at EMNLP 2022 and EACL 2023• Developed Django-based interactive website for FISH system, enabling extraction of unstructured information and providing customizable, user-friendly interfaces to deliver critical insights at both sentence and token levels
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David Huang Education Details

Frequently Asked Questions about David Huang

What company does David Huang work for?

David Huang works for Evqlv

What is David Huang's role at the current company?

David Huang's current role is Data Science Intern @ EVQLV | Columbia MSDS Fall 2023.

What schools did David Huang attend?

David Huang attended Columbia University, National Cheng-Chi University.

Who are David Huang's colleagues?

David Huang's colleagues are Daniel Delluomo, Alexander S..

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