Field Service Data Engineer

Chun-Wei Pan

Minneapolis, MN ● 763-***-**** ● ***********@*****.*** ● LinkedIn ● GitHub

EDUCATION

UNIVERSITY OF MINNESOTA, Carlson School of Management, Minneapolis, MN Master of Science in Business Analytics May 2024

TSINGHUA UNIVERSITY, Beijing, China

Bachelor of Engineering – Electronic Information Science and Technology June 2021 Bachelor of Management Sciences – Business Administration

• Deputy Officer: Student Union (2018 - 2020)

EXPERIENCE

CARLSON ANALYTICS LAB, Minneapolis, MN

Analytics Student Consultant May 2023 – May 2024

Text 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, Taiwan

Data 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, Taiwan

Software Engineer Intern July 2020 - September 2020

• Conducted AI project research and trained deep learning model to test new business products. DATA SCIENCE PROJECT

Predictive Analytics: Analyzed 10 years of high schools’ data using predictive models in R to explore leading factors that affect student’s 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

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