Weixian Chen
Project Management
CA, United States
Skills
Data Science
About
Weixian Chen's skills align with IT R&D Professionals (Information and Communication Technology). Weixian also has skills associated with Database Specialists (Information and Communication Technology). Weixian Chen appears to be an entry-level candidate, with 0 months of experience.
Work Experience
Data Scientist Intern
Cowbell Cyber, Inc
- Led the project on validating new features for the cybersecurity risk prediction model, coordinating with cross-functional teams to integrate and test enhancements, showcasing project leadership and stakeholder engagement skills. Developed and refined predictive regression models using Python, leveraging company's data to accurately forecast the DarkSonar score, a crucial element for enhancing the Cowbell Factor model's cyber security risk assessments. Managed database optimization and maintenance, leveraging AWS S3 for data robustness, ensuring reliable inputs for model accuracy and performance, highlighting your capacity for overseeing critical project infrastructure. Phanlanx Analysis Group Data Analyst Intern Project Leadership of regression analysis on cocoa product data, identifying key factors affecting product ratings and providing actionable insights for optimization. Coordinated cross-functional team efforts to deliver strategic recommendations, enhancing product development strategies. Directed a forecasting project using LSTM and ARIMA models to predict oil production, integrating diverse data sources. Managed project scope, data analysis, and presented forecasts to stakeholders, aiding in long-term resource allocation and strategic planning in the energy sector.
Quantitative Analyst Summer Intern
China Merchants Securities Co., Ltd
- Led a team of interns in creating investment reports for the company, managing task assignments, and enhancing report quality through rigorous reviews, resulting in commendation for leadership and project management excellence. Innovated in predictive analytics with stock factors, crafting a Neural network model that inputs latest data while preserving historical information. Conducted rigorous model validation and back-testing, effectively enhancing invetment strategies and demostrating the impactful use of Deep Learning in forecasting financial outcomes. The model achieved a 20% return rate in back-testing. PROJECT & RESEARCH Advancing Patient Safety: Data and NLP Driven Analysis of Hospital Incidents Team Member Led and managed a groundbreaking project utilizing NLP to analyze hospital incident reports, identifying key safety trends. Employed Pandas for data cleansing and NLTK for sentiment analysis, demonstrating technical leadership in handling complex datasets and extracting actionable insights. Analyzed sentiment intensity scores to assess the severity of incidents, directly influencing the development of targeted interventions. Presented findings to healthcare stakeholders, contributing to strategic decisions that significantly improved patient safety protocols. Non-intrusive Load Monitoring System Design Based on Machine Learning Project Leader Led the development of a Non-Intrusive Load Monitoring System, utilizing a variety of machine learning techniques to optimize real-time electricity usage monitoring for household appliances without physical access. Implemented the Sliding Window algorithm to analyze voltage and current changes, detecting transient events indicating the activation or deactivation of electronic devices. Piloted the system in an apartment setting, achieving accurate prediction results that were reported back to the funding company, showcasing the project's success and practical application in energy management.
Education
University of Southern California
M.S. in Analytics
