PIN-HSIN KUO

Highly motivated and enthusiastic recent graduate with

expertise in data analysis, machine learning, and mechatronics, currently seeking a position as an Engineer.

adyixj@r.postjobfree.com

240-***-****

Tempe, AZ

LinkedIn

EDUCATION

Arizona State University – MS in Robotics and Autonomous Systems(AI) Aug. 2021 – May 2023 National Taiwan University – BS in Biomechatronics Engineering Related course: bioMEMS fabrication, electronics and lab, electrical engineering and lab, applications of microcontroller, control systems, applied mechanics Sep. 2017 – June 2021

WORK EXPERIENCE

Instahub – Data Analyst Intern, Remote June 2022–Dec. 2022

Managed and updated the schema of the company database using SQL, allowing for more complete data and better interpretation by senior members

Implemented machine learning algorithms using Python, which is now used by the data science team to perform data analysis

Collaborated with the back-end team and developed lifetime classification models that is automatically updated on the AWS system, which provided more accurate analysis results to customers.

Sensing and Spectroscopy Lab – Research Assistant, Taiwan, Taipei July 2019 – June 2021

Cooperated with one of the largest canned beverage companies in Taiwan, and provided the company with prediction models on quality of raw tea materials to ensure stable production.

Obtained Silver Medal in the Poster/Thesis Competition awarded by Conference on Agricultural Machinery and Bio-Mechatronics Engineering, Chinese Institute of Agricultural Machinery.

Built classification models to predict the production season of tea ingredients, using SVM, RF, and KKN, resulting in 99% accuracy.

Built prediction models to identify tea compositions using PLSR, CARS and VIP, with 2 around 0.93.

RESEARCH & PROJECT EXPERIENCE

Object Navigation using Meta-Learning in AI2-THOR, Tempe, AZ Jan. 2022 – Apr. 2022

The agent was trained to navigate to known objects in a known environment using SAVN with the goal of enabling agents to adapt to unknown environments and objects.

The success rate is 84% in identifying and navigating to unknown objects in unknown environments.

Data Augmentation Impact for Image Classification, Tempe, AZ Aug. 2021 – Jan. 2022

Preprocessed image data through a variety of random erasing methods, and implemented ResNet50 framework and Grad-CAM to deliver insights and statistical analysis, ultimately improving the model performance by 5%.

Automatic Delivery Robot, Taiwan, Taipei Feb. 2021 – June 2021

Project leader of designing an automatic delivery robot with Solidworks and microcontrollers

Established the automatic obstacle avoidance function of the robot by image processing and recognition methods with RaspberryPi and OpenCV.

Achieved the serial communication between the microcontrollers and the web page. CORE COMPETENCIES

Programming Language: Python, SQL, Matlab, C++, Java

Software: spring, git, visual studio, MySQL, Solidworks

Packages: scikit-learn, TensorFlow, Pytorch, OpenCV, Numpy, pandas, Matplotlib, seaborn

Language: Mandarin (Native), English (Fluent), German(Basic)