Yuming Liu Email & Phone Number

New York, Ny, Us

New York, New York, United States

New York, New York, United States

Remote

- Skillfully pre-processed and analyzed 200K+ transactional data in Python, refining user profiles for targeted insights. Utilized EDA techniques, managing outliers and leveraging visual tools to highlight pivotal correlations.- Analyzed 800k third-party platform loan information data, delving into the correlations between loan default and various factors (e.g., annual income, installment, employment title). Implemented feature engineering, exploring associations with 18+ factors to pave the way for advanced modeling.- Trained consensus clustering, KNN, and K-means Classification models with the Sklearn python package to generate 5 buckets of SMBs(Small and Medium Businesses) based on their liability and credit. Used grid search and cross-validation to identify each model's optimal hyperparameters and compare the model performances.- Visualized the statistical results in Tableau for "smarter digital city" projects, which helped increase 9% revenue share, from 26% to 35%, and helped 68% exports increase digital investment in 2022

Remote

- Analyzed 2.7K+ rows of survey data using Maxdiff method to determine utility scores, building ETL pipelines for continuous iteration, training, and cleaning data, which increased data process efficiency by 12%, from 180s to 160s- Trained Random Forest model to identify 5 characteristics from 30+ labels, receiving 0.736 ROC which improved the clustering model performance- Implemented K-means model in Python to cluster survey response data, analyzing consensus distribution, which generated 6 customer groups for future segment analysis, and improved user persona, clarifying target user group, which helped increase conversion rate by 0.43%- Analyzed 6 clusters of new customer segmentation using over-indexing, and visualized the analysis results using Seaborn package in Pythons to provide data insights for targeting specific groups for next quarter’s promotions and provide suggestions.

Los Angeles, California, United States

- Performed segment analysis in Excel on 10K+ customer data covering 4+ business metrics, increasing regional online campaigns conversion rate by 0.57%, from 6.68% to 7.25% in 3 months, and published 15+ contents across 3+ social media platform, increasing 11% followers, from 5208 (actual) to 5782 (actual), which improved brand’s popularity - Managed the backstage data of the official account on the above social media in Excel to generate deep-dive insights and better allocated Ads budgets.- Implemented AR Time-series model to add peak buying periods' in quarterly data analysis reports, which launched 5+ promotion events, and increased 2020 spring quarter sales in the UC Santa Cruz region by 20%, from $14,384 to $18,009

Shenzhen, Guangdong, China

(Client Vertical: Real estate and infrastructure)- Collected and cleaned stock data from WIND and iFinD databases in Excel.- Analyzed 2017-2019 2 years’ financial statements via DCF model in Excel, and constructed effective boundaries for optimal investment portfolios based on Modern Portfolio Theory- Organized 15+ (number) collected materials, checking compliance, which conducted due diligence research in acquiring Shenzhen New Nanshan Holding Co., LTD by China Nanshan Development Co., LTD., and helped the acquisition finished 30 days earlier than expected Identified primary capital providers over 700+ (number) buildings in Excel Vlookup, examining rental income stability and long-term rate of return in the Real Estate Investment Trust (REITS) of China Merchants Shekou Group

Master Of Science - Ms, Operations Research

Relevant Courses: Tool of Analytics, Optimization, Simulation, Industry Projects in Analytics, Stochastic Models, Sport Analysis

Bachelor Of Science - Bs, Mathematics, 3.71

Relevant Courses: Real Analysis, Complex Analysis, Probability Theory, Ordinary Differential Equations, Advanced Linear Algebra Honors.

Bachelor Of Arts - Ba, Economics, 3.71