Parker Williamson

EDUCATION AND CERTIFICATIONS

• California Polytechnic State University, San Luis Obispo, Graduated December 2016, Bachelor of Science in Mechanical Engineering, with a concentration in Mechatronics
• Springboard Data Science Career Track Jan 2018 – June 2018
• Machine Learning Course from Stanford University on Coursera Summer 2016

WORK EXPERIENCE

• Controls Engineer – Industrial Automation Group (Ladder Logic), April 2017 – Jan  2018
  • Added new production lines at factories by implementing multiple PLC and HMI projects
  • Served as company’s emergency service contact for multiple weeks and consistently solved client’s issues
• Controls Engineering Intern –  Industrial Automation Group (Ladder Logic), Jan  2017 – April 2017
  • Performed service calls and restored production lines
  • Quoted and implemented a job worth more than $10,000
  • Converted from an intern to a full-time position after 3 month of successful projects and happy customers
• Greenpoint Technologies  – Interiors Intern, Summer 2014
  • Compiled standards and edited the Greenpoint Engineering Design Handbook
  • Classified and corrected models of fit, form and function errors
• Machinist Intern – Atomic Fabrication, Summer 2015
  • Responsible for cutting, bending, polishing, shearing, drilling, punching, and treating metal

PROJECT EXPERIENCE

• Personality Classification from text (Python), Mar 2018 – May 2018
  • Collected more than 10,000 comments from Reddit using the PRAW API
  • Used a bag of words approach to extract features from text
  • ~70% accuracy classifying each of a commenter’s personality traits
• Clothing Categorization (Python), Jan 2018 – Mar 2018
  • Classified 10 clothing groups using multiple ML models on a dataset of 70,000 images
  • 92% accuracy using CNN, with categories such as T-shirt and Shirt (Keras with a TensorFlow backend)
• Motor Controller  (Assembly) , Fall 2015
  • Created a motor controller using a Motorola 68HC12 microcontroller
• 3D Scanner (Python), Summer 2016 – Summer 2017
  • Designed and built a cheap 3D scanner using line laser, webcam and stepper motor
  • Programmed arduino controlled Inputs/Outputs and laptop-based image processing
• Electronic Car, Mark I & II  (C++ & Python), Winter and Spring 2016
  • Built an electronic car from base components using an ATmega1281 8-bit microcontroller to control motor, servo, IR sensor, MPU-6050, encoder and Bluetooth devices (mark I)
  • Designed, wired and built the car in collaboration with the rest of my team
  • Used image processing to recognize and react to a basic stop light using OpenCV on a Raspberry Pi (mark II)

SKILLS

• Programming: 5 years – Python, C++, Javascript, Matlab, Assembly, ladder logic, and Java
• Data Science/Machine Learning: 2 years – Image classification, Sentiment analysis, Neural Nets, Random forest, Support Vector Machines, Linear/Logistic Regression
• Controls/Integration: 3 years –  I2C, SQL, motors, servos, IR sensor, MPU-6050, encoder and Bluetooth, OpenCV