Tom Chang
US Permanent Resident,PHX. AZ
Overview
7
7
years of professional experience
1
1
Certification
Work History
Data Analyst
Arizona Department Of Education
Phoenix, AZ
09.2023 - Current
- State K-12 Accountability system: Update and maintain the ETL pipeline through Azure DevOps development, collaborating with other developers using Git. Systematically utilize Python OOP and communicate with SQL Server via DDL/DML to ensure smooth operation of the system/database functionality.
- Aspect-based Opinion Mining: Utilized BerTopic topic modeling with OpenAI API representation on School Report Cards Comments. Employed prompt engineering, fine-tuning, and RAG capabilities of a pre-trained LLM, incorporating department data source for sentiment analysis.
- AOI Research: Optimization on full academic year's intstrutional time for Arizona Online Instruction. Employed experimental design techniques, including Statistical tests and Bayesian optimization by data skills by T-SQL , Plotly and Reveal.JS.
Data Analyst/Scientist - ECommerce
Voltour Electric Bike
Phoenix, AZ
08.2020 - 08.2023
- Competitor Analysis Application: Marketing End-to-end MLOps solution for competitor analysis, featuring web scraping by Selenium, advanced Machine learning modeling, and interactive visualization using Streamlit.
- Advertising KPI Visualization: Develop Power BI app and automation pipeline to optimize PPC campaigns on Google AdWords. Analyzed keyword bidding, campaign duration, dwell time, and identified competitive brands.
- Color Trend Analysis: Used Mask-RCNN for image detection and segmentation, followed by K-means clustering algorithm with Silhouette Method for partitioning e-Bike images into color groups.
Industrial Engineer With Data Expertise
GoWISE USA
Phoenix, AZ
04.2018 - Current
- Demand Forecasting: ETL pipeline from QuickBooks ODBC for creating a timeline dataset. Applied Croston's method, ARIMA, and LSTM Time series models to accurately predict future demand patterns for B2B direct import and domestic sales.
- Direct Import Optimization: Established a standardized operating procedure (SOP) for analyzing container allocation data, considering demand, shipping costs, and delivery schedules. Customized optimization models, including Mixed integer programming, to optimize freight container distribution.
Research Assistant
ASU School Of Computing Augmented Intelligence
Tempe, AZ
08.2019 - 08.2020
- State K-12 Accountability system: Update and maintain the ETL pipeline through Azure DevOps development, collaborating with other developers using Git. Systematically utilize Python OOP and communicate with SQL Server via DDL/DML to ensure smooth operation of the system/database functionality.
- Aspect-based Opinion Mining: Utilized BerTopic topic modeling with OpenAI API representation on School Report Cards Comments. Employed prompt engineering, fine-tuning, and RAG capabilities of a pre-trained LLM, incorporating department data source for sentiment analysis.
- AOI Research: Optimization on full academic year's intstrutional time for Arizona Online Instruction. Employed experimental design techniques, including Statistical tests and Bayesian optimization,and Time series Analysis.
Education
Executive Master of Business Administration - IT
Ottawa University
Surprise, AZ08.2022
Master of Science in Industrial Engineering, - Industrial Engineering
Arizona State University
Tempe, AZ12.2017
Bachelor of Science - Industrial Engineering
National Chiao Tung University
Taiwan06.2013
Skills
- Software Development Methodology and Tools: Azure DeVops, CI/CD, Git, Linux
- Data Collection: Selenium, AWS Sagemaker Ground Truth, OpenAI Gym Custom Environment, QODBC, QBO API
- Database: Snowflake, SQL Server, MySQL, MongoDB
- Data Engineering (ETL) and Data Analytics:SQL, Spark, Pandas/Numpy/Polars, Matplotlib/Plotly/Seaborn, Tableau, PowerBI,Streamlit, Excel VBA,
- Machine Learning tool and frameworks: Scikit Learn, Tensorflow/Keras , Pytorch ,Spark MlLib, Langchain
- Deep Learning Knowledge: GPT/Bertology, RESNET, GAN, Transfer Learning, Collaborative filtering, Deep Q-Learning
- Programming Languages: Python, T-SQL, R, VBNET
Certification
▪ Coursera: Data Manipulation at Scale: Systems and Algorithms 02/2018
▪ Coursera: Practical Predictive Analytics: Models and Methods 03/2018
▪ Udemy: Deep Learning: Advanced NLP and RNNs 11/2021
▪ Udemy: Financial Engineering and AI in Python 06/2023
Timeline
Data Analyst
Arizona Department Of Education
09.2023 - Current
Data Analyst/Scientist - ECommerce
Voltour Electric Bike
08.2020 - 08.2023
Research Assistant
ASU School Of Computing Augmented Intelligence
08.2019 - 08.2020
Industrial Engineer With Data Expertise
GoWISE USA
04.2018 - Current
Executive Master of Business Administration - IT
Ottawa University
Master of Science in Industrial Engineering, - Industrial Engineering
Arizona State University
Bachelor of Science - Industrial Engineering
National Chiao Tung University