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Click here or scroll down to respond to this candidateCandidate's Name
New York, NY PHONE NUMBER AVAILABLE EMAIL AVAILABLE LinkedInEDUCATIONCornell Tech (Cornell University), New York, NY Aug Street Address May 2025 M.S. in Information Systems (Concentration: Connective Media) GPA: 4.0/4.0 Merit Scholarship Recipient Coursework: Applied Data Science, Applied Machine Learning, Algorithms & Data Structures, Statistics for Data Science, Data Engineering, Deep Learning, Business Fundamentals, Human-Computer Interaction (HCI), User Experience and User Research Duke Kunshan University (Duke University), Kunshan, China & Durham, NC Aug 2019 May 2023 B.A. in Interdisciplinary Studies (Economics; Political Economy) GPA: 3.92/4.0 Magna cum laude & Deans List (with Distinction) Coursework: Calculus I&II, Linear Algebra, Probability and Statistics, Introduction to Data Science, Data Analytics for Business, Econometrics, Micro & Macro Economics, Computational Social Science, Social and Economic Networks, Corporate Finance, Behavioral Finance SKILLSProgramming: Python (Pandas, NumPy, Sklearn, Selenium), SQL (PostgreSQL, MySQL), R, Stata, MATLAB Analytics Skills: Statistics, A/B Testing, Database System (Spark, AWS, Redshift, Snowflake, Hadoop), ETL, Google Analytics Data Visualization: Tableau, Power BI, Streamlit, Matplotlib, Plotly, Seaborn Machine Learning & AI: NLP (NLTK), PyTorch, TensorFlow Other Technical Skills: Git, Jupyter Notebook, Microsoft Excel (Power Pivot, Power Query), Google Suite (Colab, Google Sheets) Languages: Mandarin (native), English (fluent), Cantonese (conversant) PROFESSIONAL EXPERIENCESystem2 LLC Data Scientist Intern, New York, NY Jun 2024 Aug 2024 Developed predictive analytics models using PostgreSQL and Python to analyze alternative data sources (e.g., credit card transactions), providing hedge fund clients with interactive dashboards and actionable business insights to improve decision-making. Engineered an end-to-end ETL pipeline to process fundamental investment research data from Visible Alpha, conducted EDA and calculated financial metrics (e.g., market cap, ROE, P/E ratio) for 7000+ companies, and built a Streamlit app with Plotly for data visualization, streamlining internal analysts' evaluations of sector and market trends, resulting in a 90% satisfaction rate. Implemented statistical inference and modeling techniques (e.g., OLS regression, forecasting, backtesting) to ensure representativeness of the panel data, achieved an R-squared of 88% and presented insights to hedge fund clients in weekly meetings. Designed a next best alternative (NBA) pricing model by analyzing logistics costs and competitor pricing, optimizing transport routes using geopy, leading to a 12% reduction in transportation costs and improved pricing strategies. KPMG International Limited Risk Consulting Intern, Shanghai, China Feb 2023 May 2023 Analyzed sales performance data from 135 automobile franchise stores using Python and Excel (VBA), identifying underperforming locations and operational inefficiencies. Provided insights on strategically reallocating resources, increasing overall franchise revenue by 15%. Performed 20+ on-site inventory audits to mitigate risks of misreporting and ensuring data accuracy for the stores, drafted detailed reports and communicated findings with store managers, and presented final insights to senior analysts using Tableau and PowerPoint. HSBC Bank Commercial Banking Summer Intern, Guangzhou, China Jul 2022 Aug 2022 Conducted thorough desk research and financial analyses using Excel (PivotTable), delivered industry research in the semiconductor sector and drafted 30+ credit applications for multinational corporations, enhancing client risk profiles and supported strategic decision-making. Performed due diligence and KYC checks across internal and external platforms, improving loan approval risk assessment efficiency by 20% through the use of sentiment analysis and NLP. Collaborated with cross-functional teams to ensure accurate and timely financial reporting. Tencent Data Analyst Intern, Shenzhen, China Jun 2021 Sep 2021 Improved user engagement for a short video app with 5 million daily active users by developing and testing various AI-powered recommendation algorithms based on user demographics (e.g., age, region, content preferences), boosting the Day 1 retention rate by 10%. Designed and executed A/B testing experiments, extracting data from large user databases using MySQL and Python. Applied statistical analyses such as t-tests and chi-squared tests to validate results and ensure statistical significance, leading to a 5% increase in audience retention rate. Built 10+ real-time visualization dashboards using Python and business intelligence tools to monitor KPIs such as average play rate and watch time, identifying daily fluctuations through systematic attribution analysis. Presented insights and data-driven reports to cross-functional teams and product managers, bridging the gap between tech and non-tech stakeholders. PROJECTSFrom Pixels to Words: Deep Learning for Social Media Image Caption Generation, (Python, TensorFlow, CNNs) [GitHub] Fall 2023 Designed and implemented an end-to-end machine learning pipeline, engineered a TensorFlow-based deep learning model to automate Instagram caption generation, improving model accuracy to 88% with a CNN-LSTM and 4-layer Transformer-decoder framework. Enhanced model adaptability to social media context by employing transfer learning, fine-tuning on a custom-crawled Instagram dataset after foundational training on Flickr8k dataset, addressing challenges in dataset size and image-text correlation.The Chinese Factory Project, (Python, Excel, R, Tableau) [Website] Mar 2022 May 2023 Developed a quantitative and spatial informatics database in Excel for over 4000 factories across 30+ industries, performing data cleaning, preprocessing and EDA using Python (Pandas, NumPy). Conducted regression analyses in R to uncover critical insights into Chinas industrial development and global investment patterns, and created intuitive visualizations in Tableau to present key trends.COVID-19 Lockdown Policy & Educational Equality, (Stata, Excel) Jul 2020 Spearheaded a comprehensive survey on the impact of COVID-19 lockdown on student academic performance, coordinating with a team of 15 to gather 688 valid responses and conduct 463 follow-up calls for data verification. Utilized Stata for data preprocessing and regression analysis. LEADERSHIP & COMMUNITY EXPERIENCEStartup Project Team Leader & Financial Officer, Duke Kunshan University Innovation Incubator Sep 2020 - May 2023 Founded SitDown Souvenir Design Studio with 5 members, designed and analyzed market surveys, conducted user research, pitched to potential investors, and received a funding of 20,000 RMB. Successfully marketed and sold over 30 products through multi-channel platforms, developing expertise in the full product lifecycle, from design to deployment, honing skills in product management and team leadership. Consulting Project Team Leader, Maker Sustainability Consulting (MSC) Oct 2021 - Dec 2021 Led a team of 8 in conducting comprehensive desk research on the sustainable fashion industry, designing consumer surveys and collecting 300+ responses. Published the 2021 China Sustainable Fashion Consumption Report based on semi-structured interviews and quantitative analyses. Co-founder & President of Chinese Calligraphy and Painting Club, Duke Kunshan University Oct 2019 - May 2022 Initiated public service projects, hosting monthly workshops for children in the local community. Organized 20+ campus events, including exhibitions and collaborations with other universities and cultural organizations. Led efforts to foster an inclusive environment, encouraging participation from diverse members and enhancing international cultural exchange across the university. |
