Xinyue Zhang Email and Phone Number
As a student in Master's degree in Operations Research at Columbia University, I am a highly motivated individual who is always eager to explore and achieve my goals with great attention to detail.I have graduated from McGill University studying Business Analytics and Mathematics.My interests are focused on data-driven operations research and quantitative finance.My academic pursuits have been complemented by practical experience as a Research Assistant in Operations Research and Finance at McGill University.This experience has provided me with a solid foundation in these areas.I am keenly interested in healthcare and have had the opportunity to work on entrepreneurship projects related to infectious diseases such as Long Covid and Lyme in MIT sandbox.This experience has further fuelled my interest in the healthcare industry.I am thrilled to pursue a career at the intersection of data analytics and operations research.Leveraging my academic background and practical experience, I am eager to contribute to an innovative team to make a positive impact on people's lives.
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Graduate Research AssistantColumbia UniversityNew York, Ny, Us
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Course AssistantColumbia Engineering Sep 2024 - PresentNew York, United StatesIEOR E4004 Optimization models and methods -
Graduate Teaching AssistantColumbia Engineering Jun 2024 - Aug 2024New York, United States
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Course AssistantColumbia Engineering Jan 2024 - May 2024United StatesIEOR E4505 Operations Research in Public Policy
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Graduate Research AssistantColumbia University May 2024 - PresentNew York, United States
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Graduate Research AssistantColumbia University Jan 2024 - May 2024United StatesDitecT Lab: understand travel mode changes through Large Language Models and in-context learning - Developed Python scripts to optimize Large Language Models (LLM), focusing on enhancing data extraction and preprocessing workflows, which streamlined the analysis of unstructured data from social media platforms like Twitter.- Applied GPT-3.5-turbo, GPT-4-turbo, and LLAMA-2-7b to accurately extract and analyze travel modes and sentiments from commuter tweets. Continuously improved prompts based on feedback from a multi-step verification process to enhance understanding of public transportation preferences.- Implemented and refined a comprehensive verification process including self, cross, and human verification, significantly enhancing the accuracy and reliability of sentiment analysis outputs. This rigorous approach informed strategic improvements in urban mobility services.
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Ai Supply Chain AnalystBucephalus Jun 2024 - Sep 2024New York, New York, United States -
Research AssistantMcgill University - Desautels Faculty Of Management May 2023 - Feb 2024- Developed Python-based simulation model for retail pricing strategies, achieving precise revenue, sales projections across 100+ time periods. - Applied dynamic programming techniques to devise an optimal price determination model, pinpointing discrepancies between approximation values and actual optimization for individual time frames for 2K+ sample data. -
GraderMcgill University - Desautels Faculty Of Management Jan 2023 - May 2023Montreal, Quebec, CanadaCourse INTG 202 Integrated Management Essentials 2 - Facilitated accurate assignment and exam administration, ensuring seamless processes.
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Undergraduate Research AssistantMcgill University - Desautels Faculty Of Management Sep 2022 - Mar 2023Montreal, Quebec, Canada- Leveraged R to extract company data from 10K+ scanned PDF files, facilitating streamlined dataset matching using primary keys. - Spearheaded data cleansing and merged datasets of executives with company records, aligning top executives based on age, gender, and role, culminating in a robust database primed for subsequent research. - Conducted in-depth analysis of disparities among top executives in France, uncovering significant patterns related to tenure length and departure rates.
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GraderMcgill University - Desautels Faculty Of Management Sep 2022 - Jan 2023Montreal, Quebec, CanadaCourse MGSC373 Operation Research - Compiled and conveyed comprehensive student progress feedback to professors, contributing to course enhancement. - Collaborated with professors to optimize course delivery methods based on collected feedback.
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TutorMcgill University - Desautels Faculty Of Management Sep 2022 - Jan 2023Montreal, Quebec, CanadaCourse MGCR271 Business Statistics - Led weekly tutorial sessions to clarify students' understanding of course content and address their queries. - Collaborated closely with the professor to refine course delivery, providing feedback on tutorial effectiveness and monitoring student progress.
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Undergraduate Research AssistantMcgill University - Desautels Faculty Of Management May 2022 - Oct 2022Montreal, Quebec, Canada- Undertook a literature review to investigate principal methodologies, deriving both short-term and long-term applications relevant to P2P energy sharing, thereby laying a solid foundation for subsequent research. - Scoured 50+ industry news and websites to evaluate market potential for frequency regulation via P2P energy sharing. - Procured 120K+ data entries datasets from PJM and Kaggle, employed R for assessment of demand and supply dynamics of online car-hailing, daily neighborhood electricity consumption patterns, to ascertain feasibility of frequency regulation.
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Data AnalystMathworks Sep 2023 - Dec 2023New York, United States -
Academic TutorMcgill University Sep 2021 - Aug 2022Montreal, Quebec, CanadaCourse list: MGCR 472 Operations Management, MGSC 372 Advanced Business Statistics, INSY 336 Data Handling and Coding for Analytics: - Explained course concepts and provided succinct summaries and practical examples to enhance students' understanding of course materials in weekly meeting. -
Entrepreneurship InternMit Sandbox Innovation Fund Program Jun 2022 - Jul 2022Cambridge, Massachusetts, United StatesConducted market research on long haulers' COVID-related symptoms by analyzing Facebook groups, interviewing customers to identify main life-altering symptoms and targeting muscle weakness for young people as target customers. Informed and improved the design and functionality of Personal Autonomous Cargo Robotics by gathering feedback. Engaged with existing market competitors to understand their main challenges, primarily centered around cost and limited application. Involved them in the product development process to enhance feasibility and competitiveness. -
Entrepreneurship InternMit Sandbox Innovation Fund Program Oct 2021 - May 2022Conducted competitive analysis utilizing SWOT and PESTLE tools to identify customer needs gaps for Lyme insect repellent products, leading to the discovery of potential dilemmas and target customers for our Permethrin-treated shoes. Interviewed industry insiders/potential customers with outdoor working experience to uncover key market opportunities.
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Research AssistantMit Sandbox Innovation Fund Program Aug 2021 - Sep 2021Conducted literature review to support app-based health platform strategy that aligns with the behavior change theories Identified epidemiological models and associated variables to assess COVID infection's risk and relative risk. Integrated and analyzed research papers to uncover factors like social support that influence infection risk and used the insights to optimize the app's design for better user outcomes.
Xinyue Zhang Education Details
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4.04/4.00
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3.91/4.00(Top 1%), Graduation With Dean'S Honour List
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Exchange Student, 3.85/4.00 -
Exchange Student, 4.67/5.00 -
Summer School
Frequently Asked Questions about Xinyue Zhang
What company does Xinyue Zhang work for?
Xinyue Zhang works for Columbia University
What is Xinyue Zhang's role at the current company?
Xinyue Zhang's current role is Graduate Research Assistant.
What schools did Xinyue Zhang attend?
Xinyue Zhang attended Columbia University, Mcgill University, Shanghai Jiao Tong University, National University Of Singapore, The University Of British Columbia.
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Xinyue Zhang
Washington, Dc2gwmail.gwu.edu, tiktok.com -
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Xinyue Zhang
Nashville, Tn
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