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Click here or scroll down to respond to this candidateCandidate's Name
Minneapolis, MN PHONE NUMBER AVAILABLE EMAIL AVAILABLE LinkedIn GitHubEDUCATIONUNIVERSITY OF MINNESOTA, Carlson School of Management, Minneapolis, MN Master of Science in Business Analytics May Street Address
TSINGHUA UNIVERSITY, Beijing, ChinaBachelor of Engineering Electronic Information Science and Technology June Street Address Bachelor of Management Sciences Business Administration Deputy Officer: Student Union (2018 - 2020)EXPERIENCECARLSON ANALYTICS LAB, Minneapolis, MNAnalytics Student Consultant May 2023 May 2024Text Analysis for Leading US Manufacturing Supplier Saved 90% reporting time for Field Service Team by creating end-to-end automated categorization system to identify main customer complaint reasons using NLP techniques including topic modeling and LLMs. Deducted potential service costs by up to 30% by tracking 94k+ high-risk orders using Power BI dashboards with 6 newly-designed KPI. Lead the analytical solutions as Analytical Lead, conducted over 50+% of python codes. Impact Analysis for Household Financial Support Program Reduced customer churn rate by 30% by pinpointing churn predictors with XGBoost and using k-prototype clustering for personalized program recommendations. Conducted random forest models to identify key features of each customer segmentation. Secured 15% rise in fund raising for homeownership project by proving program effectiveness through causal inference. KAPITO, Hsinchu, TaiwanData Engineer Machine Learning Department September 2022 - May 2023 Cleaned and filtered 100K+ of data and images per week in Python to extract target defect data used for deep learning model training. Saved a total of 40+ hours of routine data processing work for the team by developing 10+ ETL pipelines and deployed on Apache Airflow. Generated daily data summarization report to clearly identify abnormal production line. Trained deep learning models for pattern recognition to identify defect products that is provided as a service to manufacturing clients.DIGICENTRE, Taipei, TaiwanSoftware Engineer Intern July 2020 - September 2020 Conducted AI project research and trained deep learning model to test new business products. DATA SCIENCE PROJECTPredictive Analytics: Analyzed 10 years of high schools data using predictive models in R to explore leading factors that affect students postsecondary success. Identify disparities in effectiveness of the programs. Time Series Analysis: Forecasted potential sales growth of a retail company within next 3 month using time series analysis techniques in R programming.Anomaly Detection: Utilize AWS cloud service to perform anomaly detection with XGBoost for ECG heartbeat. Created Interactive dashboard on AWS to display real-time anomaly for quick notification. Email Campaign Optimization: Maximize email campaign effectiveness for a leading car company, increase 175% of click-through rate by optimizing sending time period, and reduce 64% of cost by identifying and suppressing low- engagement users using Adobe Customer Journey Analytics. TECHNICAL SKILLS Programming Languages: Python, SQL, R, C++, JavaScript Tools: Power BI, Tableau, AWS SageMaker, AWS Kinesis, Airflow, Spark, LPSolve, MATLAB, GitHub |
