YI QIN

Experience

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  FANGZHOU TRADING CORP

  May 2021 - Jul 2021

  Public Relations Intern

  ·Performed research on existing and potential clients, including HUAWEI and China Telecom·Assisted with the creation of internal and external materials, such as pitches, media lists, press releases and media alerts·Coordinated media and influencer mailers for related clients

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  The Daily Orange

  Sept 2021 - May 2022

  Writer

  • Conducted over 30 structured data collection processes through email interviews with leaders of student organizations at Syracuse University, analyzing the data to facilitate new student integration and highlight the university's offerings.• Synthesized on-campus activities data into weekly analytical reports, publishing 10 comprehensive pieces on student life that collectively garnered 10,000 views, contributing to a 10% increase in readership for the campus publication.• Demonstrated proficiency in SQL for data cleaning, transformation, and analysis of interview datasets. Created visual data representations to communicate complex insights clearly and effectively.• Applied econometric models to investigate cause-and-effect relationships within campus club activities, leveraging predictive analytics to inform content development with a forward-looking analysis of student engagement trends. Show less

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  McNeil, Gray & Rice Strategic Communications

  Mar 2022 - Jun 2022

  Public Relations Intern

  ·Pitched editorial opportunities to senior management at B2B companies, like Honeywell·Helped clients in the technology industry maximize awareness and dominate their markets by writing pitches for them

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  QUANTI

  Aug 2022 - Jan 2023

  Digital Media Intern

  • Initiated data-driven outreach to influential social media accounts, successfully negotiating collaborations with 30 key influencers, leveraging statistical analysis to maximize brand visibility and audience engagement.• Managed and grew the QUANTI Instagram account by creating and curating organic content based on customer data segmentation. Implemented a rigorous posting schedule informed by A/B testing and continuous performance monitoring, achieving a growth of 3K followers in six months through data-led strategies.• Utilized Excel and Meta's analytics tools to perform weekly detailed analyses of Instagram engagement metrics. Translated data into actionable strategies, resulting in a 15% increase in organic engagement rate and produced in-depth reports to evaluate platform effectiveness. • Employed advanced data analysis techniques to inform strategic decision-making, uncovering trends and patterns within QUANTI's digital footprint. Performed thorough data investigations into site performance to inform and enhance marketing initiatives, e-commerce strategies, and UX/UI design for QUANTI's online presence. Show less

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  Velvet.Co

  Mar 2023 - Jun 2023

  Marketing Strategy Intern

  • Conducted comprehensive data analysis for 5 clients across various industries, including fashion, influencer marketing, and beauty. Utilized advanced analytics tools to identify key market trends, contributing to a 30% increase in client engagement and market presence through data-driven insights.• Actively participated in weekly data review sessions, consistently bringing forward data-driven insights and strategies. Played a pivotal role in maintaining effective communication with clients, presenting data findings to inform decision-making. Successfully influenced the implementation of three client strategies based on analytical recommendations.• Led data-centric brand promotion strategies for clients NEIWAI and Maison de Hoe, formulating detailed data analysis plans and timelines. This approach facilitated successful collaborations with over 10 influencers, backed by targeted data insights. • Designed and managed targeted advertising campaigns on Instagram and TikTok, focusing on data-driven optimization to enhance brand awareness. Analyzed campaign performance data, leading to over 5 million impressions, and reaching 1.5 million users through strategic data utilization. Show less

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  ByteDance

  Jun 2024 - Nov 2024

  Project Management Intern (AI Data Model)

  •Managed the data annotation process for 6 projects involving data from 17 countries and language markets. Ensured data quality management by analyzing key metrics such as annotation accuracy and human efficiency.•Developed and maintained a Datapower dashboard to monitor annotation progress, error type distribution, and review feedback in real-time. Optimized data release logic, resulting in a 90% accuracy and efficiency improvement.•Collaborated with the data science team to optimize data sampling strategies, ensuring the representativeness and effectiveness of annotated data. Adjusted sampling stratification and weights based on model feedback and error analysis to enhance coverage of long-tail data. Improved model performance by 5% in key tasks.•Monitored video content classification models, focusing on efficiency, accuracy, and anomalies. Conducted weekly analysis of 50,000 data points, tracking activity trends for high and low-creation content, performing week-over-week comparisons to identify quality fluctuations. Provided actionable insights to improve operational strategies and maintain model data accuracy above 95%.•Managed six projects and 25+ demands weekly, coordinating with five teams to ensure smooth project execution. Held regular meetings with teams to ensure timely task completion and optimized annotation strategies and platform iteration. Show less

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  Deloitte

  Mar 2025 - now

  Data Science Intern

  • Supported insurance clients in configuring and managing model factors for credit risk assessment in bond and equity investments. Developed 5 types of SQL-based data processing logic (raw data extraction, multi-dataset joins, conditional logic, conditional calculations, custom calculations), and completed the configuration and maintenance of 50+ financial factors (e.g., Fortune 500 ranking, tax ratio, cash flow) to ensure model accuracy.• Participated in the development of an internal financial data warehouse using Modao low-code platform, designing and building 3 key layers—staging layer, intermediate layer, and application layer—to enhance data accessibility and usability for both business and technical teams.• Automated data version comparison and validation tasks using Python scripts, completing 5 rounds of dataset comparisons across warehouse versions. Conducted anomaly analysis on factor values, field naming, and time dimensions, identifying root causes (e.g., sorting discrepancies, metric definition changes) and providing optimization recommendations to improve data consistency and integrity.• Extracted and transformed core metrics from the data warehouse based on client needs, successfully delivering 20+ customized data reports. Translated internal data fields into business-friendly terms and addressed client inquiries regarding data discrepancies, improving client trust and satisfaction with data products. Show less