Professional Experience

I have a multidisciplinary background in both data science and finance, with professional experience in internet technology, FinTech, private equity, venture capital, and banking. My short-term goal is to learn and grow as much as possible in my role as a data scientist. In the long run, I aspire to leverage my technical skills and business acumen to make a meaningful impact in the nonprofit sector.

JPMorganChase

Associate, Data Science

New York, NY



    AI/ML:
  • Developed and supported deploying Babelfish, a Gen-AI powered code translation and documentation tool that facilitates firm-wide codebase migration across languages and to the cloud, reducing manual effort by 95%
  • Implemented batch-mode translation functionalities with automatic progress logging and error handling
  • Delivered solutions for translating complex codebases with dependency graphs and Retrieval-Augmented Generation

    • Matching as a Service:
  • Built a record linkage pipeline from the ground up, which leverages semantic similarity and vector retrieval to help Chase ingest diverse datasets through fuzzy matching, boosting search speed by 1000 times with over 97% accuracy

    • Auto Analytics:
  • Independently created a Streamlit web app for dynamic, in-depth analyses of Chase customer digital journeys and engagement, guiding web design improvements to enhance customer retention and user experience

    • Consumer Bank:
  • Developed Random Forest models to predict incremental deposit attrition rates following branch consolidations
  • Proposed personalization strategies based on K-means customer segmentation, improving conversion rates by 5%
  • Optimized banker efficiency by reducing meeting cancellations with data-driven solutions, increasing profit by $60M

    • Leadership Initiatives:
  • Led the Resourcing Committee’s BAU workstream, managing rotation planning and staffing of 60+ team members
  • Served as a team mentor in the Data for Good Hackathon, providing college students with guidance and support

PPG Industries

AI/ML Intern

Pittsburgh, PA



  • Constructed 15 time-series forecasting models using ARIMA, Prophet, Exponential Smoothing and more to predict finished goods demand for inventory optimization, improving forecast accuracy by 17%
  • Developed a Python-based Auto-Forecaster that takes any time series, experiments with 10+ forecasting algorithms, self-tunes hyper-parameters and recommends the best model, shortening iteration cycles from 2 weeks to 1 minute

Tencent

Data Scientist Intern

Shanghai



  • Conducted causal inference with algorithms like Causal Bayesian Networks, X-Learner, and Causal Forest to identify key drivers of customer behavior on Tencent streaming platforms, increasing user satisfaction rating by 11%
  • Deployed an inference pipeline that automates feature engineering, modeling, and experiment design to streamline A/B testing and optimize content recommendations, enhancing customer experience and engagement

DiDi

Data Analyst Intern

Beijing



  • Designed a market sizing model with SQL and Excel, accurately predicting driver and order growth rates during holidays and thus alleviating traffic burdens in 14 Chinese metropolitan areas
  • Conducted large-scale analyses on business datasets using Apache Hive to advise strategic decision-making

Bairong Technology

Data Scientist Intern

Shenzhen



  • Built a semi-supervised learning model using the MixMatch algorithm with PyTorch to classify customers based on their probability of default, achieving 90% prediction accuracy
  • Developed an automated report generation program that calculates performance indicators, graphs statistical distributions, produces analytical summaries, and creates formatted slideshows for clients, significantly boosting team efficiency

LexinFintech

Data Engineer Intern

Shenzhen



  • Created an interactive web dashboard for customer segmentation and profile visualization using Hive
  • Collaborated with the Risk Management Department to extract and analyze testing samples from over 170M data points, reducing the financial report generation process from 3 days to 2.5 hours
  • Ensured data quality by performing database consistency checks and resolving abnormal jobs through checkpoint recovery

HOPU Investment Management

Part-time Assistant

Remote



  • Conducted desk research on the industry chain, customer segments, evolution, and market size of the coworking industry in both China and the US
  • Compiled company portfolios for seven major market players, including WeWork, UCommune, and Kr Space, providing firm-specific analyses of profit models, cost management, competitive advantages, and M&A strategies
  • Participated in in-depth interviews with senior management at targeted startups, documenting key insights and takeaways

YIYI Capital

Business Analyst Intern

Beijing



  • Contributed to due diligence, financing, and PR incubation processes for two investment targets
  • Acted as an interpreter and negotiator, assisting general partners of the VC and the CEO of a media startup in securing a deal with a Swedish corporation
  • Attended roadshows and a global blockchain conference in Shanghai

Industrial and Commercial Bank of China

Financial Analyst Intern

Chongqing



  • Assisted with corporate credit ranking and risk evaluation through financial statement audits
  • Participated in an investment and macroeconomics conference at the Chongqing World Financial Center