Xiying Zhao

*Conducted business analysis on car rides data leveraging SQL and Excel to identify the product market fit and product design strategies for the Siemens CN 2022 electric vehicle (EV) launch campaign *Created survey sampling strategies and designed questionnaires for potential customers to better understand market needs while minimizing bias *Presented the data insights on the potential impact of the Siemens CN 2022 EV launch to the product, operation, marketing, and engineering teams using strong presentation skills *Designed 4 Tableau dashboards to visualize product adoption, engagement, retention, and financial metrics to monitor campaign performance and flag unusual signals *Built and maintained a closed relationship with 5 EV suppliers to manage supplies and negotiate prices leveraging strong communication and interpersonal skills

*Built forecast models to predict stock prices through machine learning classifiers and news on social media *Wrote Python scripts to automate model runs to achieve higher model efficiency and accuracy

*Analyzed and reporting projects on financial innovation and wealth management, mainly around current financial hot topics, blockchain and NFT; *Processed data and cleaned data, test models by python and write performance report.

*Summarized the development history of companies in the US military industry and analyzed the profit & loss and ROI on specific cases of acquisitions *Performed data cleaning to resolve the problems of duplicates, outliers, and missing data using Excel to prepare data for financial modelling *Assisted in the preparation of 2 IPO reports and presentations leveraging professional business writing skills

* Statistical Modeling, Mathematical Statistics, Bayesian Analysis, Time series, Stochastic process, Machine Learning, A/B testing, Statistical Inference

*Experimental design & survey sampling, linear regression & processing improvement, computational statistics & data analysis in Stata, time series analysis, data structure & web design

* Operational & analytic infrastructure, relational and non-relational data model, data visualization with Tableau, data analysis in R, big data utilization, cloud computing in AWS, machine learning