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Bio

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Linh Tran is a seasoned data scientist with 7+ years of experience in machine learning, natural language processing, and data analysis. She has worked with various companies, including VinBigData, MB - Military Commercial Joint Stock Bank, and FPT Software, and has expertise in Python, pytorch, Huggingface, and data pipelines. Linh holds a Bachelor of Science degree in Computer Science from the University of Rochester and has experience as a teaching assistant and research assistant.

Experience

  • The Davis UWC Scholars Program
    • Rochester, New York, United States
    • Davis UWC Scholar
      • Aug 2020 - Present
      • Rochester, New York, United States

    • United States
    • Higher Education
    • 700 & Above Employee
    • CSC 242 - Introduction to Artificial Intelligence Teaching Assistant
      • Aug 2023 - Dec 2023

    • CSC161 - Introduction to Python Workshop Leader
      • Jan 2023 - Dec 2023

    • MATH165 Study Group Leader
      • Aug 2023 - Nov 2023

    • Data Science Intern
      • May 2023 - Aug 2023

      - Optimized an existing question classifier model to classify specific questions using pytorch, Huggingface, with Python, achieving an 87% accuracy on a dataset exceeding 100,000 data points.- Expanded the SQuAD 2.0 dataset by generating 50,000 high-quality question-answer pairs, resulting in a 4% accuracy boost for the DeBERTA question-answering model.- Conducted a comprehensive analysis of question-answering models across 3 datasets to understand the effect of positive-negative sample ratios on model accuracy. - Implemented and deployed a multilingual semantic analysis model on a Torchserve server on Linux system, accelerating the question-answering model accuracy checking speed by 200%.

    • Data Science Intern
      • Jun 2022 - Aug 2022

      - Engineered a data pipeline by crawling data from 7 real estate websites, utilizing Python and Google Maps API to establish a comprehensive database of 60,000 entries.- Developed and fine-tuned a real estate price prediction model with XGBoost, LightGBM, and CatBoost, achieving a MAPE score of 0.17.- Developed a user-friendly web application for house price prediction using Flask, Python, CSS, and HTML.

    • Data Analyst Intern
      • Jun 2021 - Aug 2021

      - Collected and cleaned 60 coworkers’ one year's worth of tasks from Trello and Microsoft Task, resulting in a comprehensive database on Microsoft Azure using Python.- Developed an intuitive work performance tracker by seamlessly integrating the Microsoft Azure database with PowerBI via SQL, boosting the team’s collective weekly work performance.- Implemented automation by developing a Python script to scrape APIs and update the database along with the performance tracker every hour, significantly reduced the team leader’s time and effort to monitor individual work progress.

    • Website and Mobile App Designer
      • Mar 2021 - May 2021

      - Collected and analyzed customer feedback on Edunet website to create the website framework- Designed the landing page and main components of the website (including dashboard, search page, profile pages…) with Figma - Researched and developed the mobile app design of Edunet website

    • Web Development Intern & Frontend Team Leader
      • Feb 2021 - May 2021

      - Worked directly with all teams to gain an understanding of creating and maintaining our Microservice solutions for Edunet Project - Built website API with Python to send and receive backend and frontend data to MongoDB- Built website frontend with Javascript and React; built website backend with Python - Worked with Project Leader to delegate work to members and discuss weekly plans

    • English Tutoring
      • Feb 2020 - Jul 2020

      Tutor English for a 11th grade student in Australia- Improved English level from not being able to write essays to full essays with 450 words.- Improved reading, listening & speaking, is able to read difficult texts in class- Improved vocabulary through reading exercises- Improved daily conversation skills

    • Production and Design Team Leader
      • Oct 2018 - 2020
      • Nagano, Japan

      - REシクル aims to tackle food waste by making agricultural byproducts edible. Our goal is to process 1000kg of rice bran by the end of 2020. Start distributing products through crowdfunding project in January 2020.- Developed recipes and package design. Planned our crowdfunding project’s visual design (photographs and additional designs).

  • CKP
    • Hanoi, Thành Phố Hà Nội, Vietnam
    • Camp Coordinator
      • Feb 2019 - Sep 2019
      • Hanoi, Thành Phố Hà Nội, Vietnam

      - CKP - Education Organization, Hanoi, Vietnam: Improve Vietnamese students’ middle school education through sustainable education and experiential learning.- Content Department (2017-2019): Developed content for CKP’s annual summer camp: Design Thinking, soft skills training, and experiential learning. Helped campers build and develop projects after camp.- Camp Coordinator (2019): assisted facilitators and managed the overall program.- Post-camp data processing

Education

  • 2020 - 2024
    University of Rochester
    Bachelor of Science - BS, Computer Science
  • 2017 - 2020
    UWC ISAK Japan
    International Baccalaureate Diploma, Computer Science

Suggested Services

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Industry Focus. “Computer Software”

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