About
As a highly motivated individual pursuing a Master of Science in Analytics at USC, I possess a strong educational background and practical experience in developing Python-based algorithms to address imbalanced datasets. In addition to my programming skills, I have also co-authored technique documents with my Professor to teach Rapidminer. Furthermore, I designed and facilitated a female data scientist BootCamp at National Taipei University and Technology, demonstrating my passion for promoting diversity in the field.
Data Scientist & Full-Stack Developer
My ability to analyze complex data sets and design machine learning models, coupled with my proficiency in front-end and back-end development, enables me to create end-to-end solutions that are effective and efficient.
- Website: Jerry's Dreamland
- Phone: (626) 381 8373
- City: Los Angeles, USA
- Degree: Master
- Major: Analytics
- Email: juiliche@usc.edu
My experience in various data-driven projects, including the development of machine learning models for Parkinson's Disease diagnosis and credit card fraud detection, highlights my technical skills in Python, SQL, Tableau, and other programming languages and tools. I have also worked on optimizing electric vehicle charging station allocation through genetic algorithms, demonstrating my expertise in data analysis and project management. As a result, I possess strong capabilities in data modeling, analysis, and visualization, coupled with the ability to apply these skills in practical settings.
Skills
Programming Languages
During the process of completing class assignments, pursuing self-improvement, and software development, I will utilize these tools, which include programming languages and other tools.
Tools & Libraries
Resume
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Innovative Programmer: Over three years of interdisciplinary research experience, enhancing ML prediction accuracy by 30% through pioneering over-sampling techniques and devising impactful software solutions at Micron that saved 50+ process hours.
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Data-Driven Strategist: Led key projects, including the creation of indoor space applications for Kiana Analytics, generating a potential annual value of $100k, using tools such as Python, TensorFlow, and Angular.
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Academic Excellence: Pursuing an M.S. in Analytics from USC, with a profound academic background in imbalanced data analysis, spearheading industry-university collaborations, and co-authoring a data analyst textbook.
SUMMARY
Jerry Chen
- Los Angeles, CA / Eastvale, CA
- (626) 381-8373
- https://www.linkedin.com/in/jui-li-chen/
Education
Master of Science in Analytics
2022 - Present
University of Southern California, Los Angeles, CA
Current GPA: 3.7/4.0
Master of Science in Information and Finance Management
2019 - 2021
National Taipei University of Technology, Taipei, Taiwan
Overall GPA: 4.0/4.0
Master's thesis: Hybrid over-sampling algorithm based on CTGAN and SMOTE coping with imbalanced data
Bachelor of Science in Information and Finance Management
2015 - 2019
National Taipei University of Technology, Taipei, Taiwan
Overall GPA: 3.3/4.0
Major GPA: 3.75/4.0
Last 60-credit GPA: 3.71/4.0
Related courses: Computer programming (A) / Big Data Analytics (A) / Advanced Java Programming (A) / C Programming Language (A) / Financial Big Data (A)/ Artificial Intelligence and Application (A)
Honors: 5 times Triple Excellence Awards
RESEARCH EXPERIENCE
Hybrid over-sampling algorithm based on CTGAN and SMOTE coping with imbalanced data
2021
Master's Thesis: NTUT Master of Science in Information and Finance Management
- Conducted a comprehensive analysis of the effect of imbalanced data on machine learning performance in the healthcare, insurance, and financial services industries
- Developed and implemented a Python-based algorithm utilizing concepts from GAN and SMOTE to address imbalanced datasets, named CS-synthesizer which leading to more accurate predictions in a variety of industries
- Assessed the performance of CS-Synthesizer using a variety of datasets and compared the results to those of GAN and SMOTE. Verified that CS-Synthesizer was the most effective technique in increasing F1 scores by at least 10%
VOLUNTEER EXPERIENCE
Huashan Social Welfare Foundation, Taipei, Taiwan
2015
Team Leader of NTUT Volunteers
- Acted as Team Leader of NTUT volunteers in the encouraging receipts donation event for helping the elderly people (Receipts in Taiwan are a part of the Taiwan Receipt Lottery)
- Received pre-event training from the Foundation; participated in the group leader meeting held by NTUT, learning how to lead the volunteer team and what words and actions to motivate team members
- Executed on-site investigation in advance and ensured members’ health before the event because we had to stand under the hot sun for hours
- Filmed the process and produced a short documentary video for both the Foundation and NTUT
- Obtained about 1,200 receipts every time, which was 1st place in the encouraging receipts donation event every time and significantly outnumbered the regular 400 receipts that the Foundation mostly obtained.
WORK EXPERIENCE
Quality Engineer Intern (Software Development Role)
2023
Micron, Taoyuan, Taiwan
- Championed the design and deployment of innovative software solutions tailored to the company’s specific needs, benefiting more than 100 employees across 3+ departments and saving more than 50 process hours
- Engineered a robust VBA Excel template that guaranteed 100% valid data quality. This development underwent rigorous evaluation by senior engineers and became a staple for all sampling system users
- Streamlined operational workflows by introducing a cutting-edge UiPath RPA solution, automating key parameter adjustments and significantly enhancing process precision by 66%
- Pioneered a web portal leveraging Angular and Python to streamline process rule adherence, facilitating data-driven, cross-departmental decision-making for managers and enhancing operational efficiency
Research Assistant for Prof. Chen-Shu Wang
2019 - 2022
National Taipei University of Technology, Taipei, Taiwan
- Engaged as part of industry-university collaboration projects, utilized machine learning techniques to predict high school students' scores on college entrance exams and presented to high school principals and teachers
- Designed course content and served as a TA for the program to cultivate female data analysts and assisted in the development of a textbook on big data by designing relevant materials
- Coordinated with colleagues to conduct research on the effectiveness of over-sampling techniques on machine learning performance for medical datasets, resulting in improved accuracy of predictions up to 30%
Projects
Indoor Space Management Applications Development
2023
- Developed and built three indoor space management applications for Kiana Analytics: Security, Energy Saving, and Maintenance
- Examined 30GB of real-time location system (RTLS) data to create tailored solutions that could generate an annual value of $100k for the client
- Showcased the applications to the CTO and CEO of Kiana Analytics, demonstrating their cutting-edge features and benefits
Optimizing Electric Vehicle Charging Station Allocation through Genetic Algorithms
2022
- Improved the allocation and number of electric vehicle charging stations using a genetic algorithm and Python
- Employed constraints and advanced techniques to satisfy the customers’ needs with cost-saving measures
- Delivered 20% improvement in efficiency and 15% reduction in cost compared to original optimization method
Credit Card Fraud Detection Model: A Machine Learning Approach
2022
- Developed fraud detection algorithm for credit card transactions using hybrid three over-sampling and PCA on imbalanced dataset (492 frauds out of 284,807 transactions), resulting in 0.97 recall and 0.99 precision
Building Parkinson’s Disease Diagnosis Model
2021
- Collected and categorized patient data for Parkinson’s disease diagnosis using fricative consonants
- Processed Mandarin speech data with Praat and ETL, engineered Neural Network and XGBoost models in Python
- Attained 100% accuracy in predicting patient diagnosis, outperforming the existing methods by 25%
Stock Portfolio Optimization
2019
- Referred 30 papers related to genetic algorithm and stock portfolio
- Selected 50 stocks from Taiwan stock markets according to their average returns from 2014 to 2018
- Utilized genetic algorithm to find the best way for groupings and calculated revenue, successfully achieved a higher revenue of groupings for 19% of 5 stocks and 17% of 10 stocks compared to 12.9% of 50 stocks
Online Big Data Teaching Platform
2020
- Taught Big Data to high school students through Youtube and designed course content
- Provided real-time answers to viewers; achieved the maximum number of current viewers up to 500 people
- Collected questionnaires of all 25 classes to evaluate teaching effect, which showed that high school students preferred classes with practical cases instructed by the teaching assistant
More Projects in Portfolio Section
Contact
Thank you for taking the time to explore my website and review my portfolios and skillsets. It means a lot to me that you have shown interest in my work. If you find my experience and expertise in line with your project needs, I would be honored to collaborate with you. Please do not hesitate to contact me to discuss any potential opportunities. Once again, thank you for your interest, and I look forward to the possibility of working together.