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Stephanie Zhang

Data Science / Machine Learning / Creative Solution

A creative and sharp problem solver, powered by Data Science

GitHub: StephanieZ001

Linkedin: https://www.linkedin.com/in/stephanie-zhang-a2b2a133/

My specialties and research interests include:

Machine Learning, Mathematical Optimization, Algorithms Design, Forecasting, A/B testing

Methodologies:
Machine Learning (Deep Neural Networks, Regression, Classification, Clustering), Data Mining, Probability Theory

Application Scopes:
User experience Tracking, Customer Retention
Time Series Feature Extraction
Supply Chain Management Systems, Logistics
Transportation, Finance

Languages/Software/System:
Python, SQL, Git

Data Science ad-hoc Projects

(click each icon for more)

Kaggle | Modeling to Predict Two-Sigma Apartment Rental Listing Inquiries

The modeling objective was to predict the number of inquiries a new listing receives based on the listing’s creation date and other features such as text description, photos, number of bedrooms, price, etc.

FinTech - ROI Values Prediction Secondary Model

The project’s target was to build a secondary credit model to identify the ROI values in Lending Club. Applied the data science methodology in python language.

Foundations' Media Impacts Measuring Metrics /Model

Built evaluation Metrics and constructed non-linear algorithm for calculating Foundations' social influence rates and rankings (python pandas, NLP)

Supply Chain's System Integration Solution

The project offered a seamless process that guesses the structure of input data, double checks with a people-friendly validation interface, and connects the interfaces between ERP and WMS

Re-Design the TransportationX’s Service in the Greater Los Angeles Metropolitan

Re-Design the TransportationX’s Service that is Adapted to the Greater Los Angeles Area

Climate Statistics Analysis, @USC Climate Dynamics Lab

Answered the question: In the past 2000 years, how was the global temperature affected by major volcanic eruptions by applying statistics methods, and visualized the results

Gaming- Analytics & Design Sales Increase Strategy

Feature engineering for time series data by extracting meaningful key indicators for gamers at different stages and their underlying implications. Designed sales strategies and A/B testing methods that maximize the game's incremental revenue

Real Estate Prices Prediction Regression Model with Geo-location Adjustment

The project aimed to predict the regional real estate prices with the consideration of geographical locations

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