Cailiang Xu Email & Phone Number

Los Angeles, Ca, Us

Developing a pioneering neural network model from scratch to determine the optimal timing for selling loans to investors.This model incorporates predictions based on various econometric indicators such as ten-year treasury rates and Ginnie Mae rates, enhancing the company's financial strategy and decision-making processes.

Managing and processing 800GB of data across multiple parquet files to extract critical information for ongoing research. Implementing advanced filtering techniques to extract and match identifiers across various datasets, facilitating comprehensive data analysis for the professor's research projects.Transformed a 2GB+ LinkedIn dataset from JSON to CSV using Python, enhancing code readability, maintainability, and scalability. Engineered Python solutions to integrate unstructured location data using Google API, streamlining data consolidation.

Applied machine learning techniques to enhance recognition of children’s handwriting, increasing model accuracy.Developed hand gesture recognition software to aid children with motor skills impairments, facilitating improvements in writing and drawing tasks.

Leveraged SQL and Python to forecast the annual supply of iron, analyzing current consumption patterns and purchase volumes. Implemented data cleansing and grouping techniques to enhance database efficiency and accuracy.Engaged in all phases of time series prediction including model selection, development, and evaluation, contributing to enhanced forecasting accuracy and reliability.Utilized R to create data visualizations that critically assess the plausibility of predicted confidence intervals and explore the dynamics between supply and demand.

Master Of Science - Ms, Business Analytics

Bachelor'S Degree, Statistics